Initial commit

.gitattributes

@@ -1,3 +1,4 @@
+pretrained_model/* filter=lfs diff=lfs merge=lfs -text
 *.7z filter=lfs diff=lfs merge=lfs -text
 *.arrow filter=lfs diff=lfs merge=lfs -text
 *.bin filter=lfs diff=lfs merge=lfs -text
@@ -33,3 +34,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+pretrained_model/checkpoint/bigvgan_f0_full/last.ckpt filter=lfs diff=lfs merge=lfs -text
+pretrained_model/checkpoint/proposed/last.ckpt filter=lfs diff=lfs merge=lfs -text
+metadata/metadata_w_style_prompt_tags_v230922.csv filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,250 @@
+dump
+
+# Created by https://www.gitignore.io/api/osx,vim,linux,emacs,python,visualstudiocode
+# Edit at https://www.gitignore.io/?templates=osx,vim,linux,emacs,python,visualstudiocode
+
+### Emacs ###
+# -*- mode: gitignore; -*-
+*~
+\#*\#
+/.emacs.desktop
+/.emacs.desktop.lock
+*.elc
+auto-save-list
+tramp
+.\#*
+
+# Org-mode
+.org-id-locations
+*_archive
+
+# flymake-mode
+*_flymake.*
+
+# eshell files
+/eshell/history
+/eshell/lastdir
+
+# elpa packages
+/elpa/
+
+# reftex files
+*.rel
+
+# AUCTeX auto folder
+/auto/
+
+# cask packages
+.cask/
+dist/
+
+# Flycheck
+flycheck_*.el
+
+# server auth directory
+/server/
+
+# projectiles files
+.projectile
+
+# directory configuration
+.dir-locals.el
+
+# network security
+/network-security.data
+
+
+### Linux ###
+
+# temporary files which can be created if a process still has a handle open of a deleted file
+.fuse_hidden*
+
+# KDE directory preferences
+.directory
+
+# Linux trash folder which might appear on any partition or disk
+.Trash-*
+
+# .nfs files are created when an open file is removed but is still being accessed
+.nfs*
+
+### OSX ###
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# pyenv
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# Mr Developer
+.mr.developer.cfg
+.project
+.pydevproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+### Vim ###
+# Swap
+[._]*.s[a-v][a-z]
+[._]*.sw[a-p]
+[._]s[a-rt-v][a-z]
+[._]ss[a-gi-z]
+[._]sw[a-p]
+
+# Session
+Session.vim
+Sessionx.vim
+
+# Temporary
+.netrwhist
+
+# Auto-generated tag files
+tags
+
+# Persistent undo
+[._]*.un~
+
+# Coc configuration directory
+.vim
+
+### VisualStudioCode ###
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+
+### VisualStudioCode Patch ###
+# Ignore all local history of files
+.history
+
+# End of https://www.gitignore.io/api/osx,vim,linux,emacs,python,visualstudiocode
+
+**/out*
+**/.ipynb_checkpoints
+**/*.ipynb
+
+
+# Environment variables
+.env
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local

CODE_OF_CONDUCT.md

@@ -0,0 +1,132 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
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+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
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+Examples of behavior that contributes to a positive environment for our
+community include:
+
+* Demonstrating empathy and kindness toward other people
+* Being respectful of differing opinions, viewpoints, and experiences
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+  and learning from the experience
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+## Scope
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+## Enforcement
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+## Enforcement Guidelines
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+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
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+### 2. Warning
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+like social media. Violating these terms may lead to a temporary or permanent
+ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
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+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior, harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within the
+community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.1, available at
+[https://www.contributor-covenant.org/version/2/1/code_of_conduct.html][v2.1].
+
+Community Impact Guidelines were inspired by
+[Mozilla's code of conduct enforcement ladder][Mozilla CoC].
+
+For answers to common questions about this code of conduct, see the FAQ at
+[https://www.contributor-covenant.org/faq][FAQ]. Translations are available at
+[https://www.contributor-covenant.org/translations][translations].
+
+[homepage]: https://www.contributor-covenant.org
+[v2.1]: https://www.contributor-covenant.org/version/2/1/code_of_conduct.html
+[Mozilla CoC]: https://github.com/mozilla/diversity
+[FAQ]: https://www.contributor-covenant.org/faq
+[translations]: https://www.contributor-covenant.org/translations

LICENSE

@@ -0,0 +1,201 @@
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+
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+
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README.md

@@ -1,12 +1,12 @@
 ---
 title: Promptttspp
-emoji: 🏢
-colorFrom: green
+emoji: 😻
+colorFrom: pink
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.44.1
+sdk_version: 4.21.0
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
-
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,150 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import gradio as gr
+import hydra
+import matplotlib.pyplot as plt
+import torch
+import torchaudio
+from g2p_en import G2p
+from hydra.utils import instantiate
+from omegaconf import OmegaConf
+from promptttspp.text.eng import symbols, text_to_sequence
+from promptttspp.utils.model import lowpass_filter
+import nltk
+
+
+def load_model(model_cfg, model_ckpt_path, vocoder_cfg, vocoder_ckpt_path):
+    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    model = instantiate(model_cfg)
+    model.load_state_dict(torch.load(model_ckpt_path, map_location="cpu")["model"])
+    model = model.to(device).eval()
+
+    vocoder = instantiate(vocoder_cfg)
+    vocoder.load_state_dict(
+        torch.load(vocoder_ckpt_path, map_location="cpu")["generator"]
+    )
+    vocoder = vocoder.to(device).eval()
+    return model, vocoder
+
+
+def build_ui(g2p, model, vocoder, to_mel, mel_stats):
+    content_placeholder = (
+        "This is text to speech demo, which allows you to control the speaker identity "
+        "in natural language as follows."
+    )
+    style_placeholder = "A man speaks slowly in a low tone."
+
+    @torch.no_grad()
+    def onclick_synthesis(content_prompt, style_prompt=None, reference_mel=None):
+        assert style_prompt is not None or reference_mel is not None
+        device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+        phonemes = g2p(content_prompt)
+        phonemes = [p if p not in [",", "."] else "sil" for p in phonemes]
+        phonemes = [p for p in phonemes if p in symbols]
+        phoneme_ids = text_to_sequence(" ".join(phonemes))
+        phoneme_ids = torch.LongTensor(phoneme_ids)[None, :].to(device)
+        if style_prompt is not None:
+            dec, log_cf0, vuv = model.infer(
+                phoneme_ids,
+                style_prompt=style_prompt,
+                use_max=True,
+                noise_scale=0.5,
+                return_f0=True,
+            )
+        else:
+            reference_mel = (reference_mel - mel_stats["mean"]) / mel_stats["std"]
+            reference_mel = reference_mel.to(device)
+            dec, log_cf0, vuv = model.infer(
+                phoneme_ids,
+                reference_mel=reference_mel,
+                use_max=True,
+                noise_scale=0.5,
+                return_f0=True,
+            )
+        modfs = int(1.0 / (10 * 0.001))
+        log_cf0 = lowpass_filter(log_cf0, modfs, cutoff=20)
+        f0 = log_cf0.exp()
+        f0[vuv < 0.5] = 0
+        dec = dec * mel_stats["std"] + mel_stats["mean"]
+        wav = vocoder(dec, f0).squeeze(1).cpu()
+        return wav
+
+    def onclick_with_style_prompt(content_prompt, style_prompt):
+        wav = onclick_synthesis(
+            content_prompt=content_prompt, style_prompt=style_prompt
+        )
+        mel = to_mel(wav)
+        fig = plt.figure(figsize=(12, 8))
+        plt.imshow(mel.squeeze().numpy(), aspect="auto", origin="lower")
+        return (to_mel.sample_rate, wav.squeeze().numpy()), fig
+
+    def onclick_with_reference_mel(content_prompt, reference_wav_path):
+        wav, _ = torchaudio.load(reference_wav_path)
+        ref_mel = to_mel(wav)
+        wav = onclick_synthesis(content_prompt=content_prompt, reference_mel=ref_mel)
+        mel = to_mel(wav)
+        fig = plt.figure(figsize=(12, 8))
+        plt.imshow(mel.squeeze().numpy(), aspect="auto", origin="lower")
+        return (to_mel.sample_rate, wav.squeeze().numpy()), fig
+
+    with gr.Blocks() as demo:
+        gr.Markdown("# PromptTTS++")
+        gr.Markdown("### NOTE: Please do not enter personal information.")
+        content_prompt = gr.Textbox(
+            content_placeholder, lines=3, label="Content prompt"
+        )
+        with gr.Tabs():
+            with gr.TabItem("Style prompt"):
+                style_prompt = gr.Textbox(
+                    style_placeholder, lines=3, label="Style prompt"
+                )
+                syn_button1 = gr.Button("Synthesize")
+                wav1 = gr.Audio(label="Output wav", elem_id="prompt")
+                plot1 = gr.Plot(label="Output mel", elem_id="prompt")
+            with gr.TabItem("Reference wav"):
+                ref_wav_path = gr.Audio(
+                    type="filepath", label="Reference wav", elem_id="ref"
+                )
+                syn_button2 = gr.Button("Synthesize")
+                wav2 = gr.Audio(label="Output wav", elem_id="ref")
+                plot2 = gr.Plot(label="Output mel", elem_id="ref")
+        syn_button1.click(
+            onclick_with_style_prompt,
+            inputs=[content_prompt, style_prompt],
+            outputs=[wav1, plot1],
+        )
+        syn_button2.click(
+            onclick_with_reference_mel,
+            inputs=[content_prompt, ref_wav_path],
+            outputs=[wav2, plot2],
+        )
+    demo.launch()
+
+
+@hydra.main(version_base=None, config_path="egs/proposed/bin/conf", config_name="demo")
+def main(cfg):
+    model, vocoder = load_model(
+        cfg.model, cfg.model_ckpt_path, cfg.vocoder, cfg.vocoder_ckpt_path
+    )
+    to_mel = instantiate(cfg.transforms)
+    # If the NLTK version is 3.9.1, this download code might be necessary.
+    nltk.download('averaged_perceptron_tagger_eng') 
+    g2p = G2p()
+    mel_stats = OmegaConf.load(cfg.mel_stats_file)
+    build_ui(g2p, model, vocoder, to_mel, mel_stats)
+
+
+if __name__ == "__main__":
+    main()

data_prep/.gitignore

@@ -0,0 +1,3 @@
+log
+out
+LibriTTS_R

data_prep/README.md

@@ -0,0 +1,82 @@
+# data_prep
+
+This directory contains the following data preparation scripts:
+
+1. MFA data preparation: Code for extracting phone alignments by Montréal Forced Aligner (MFA)
+2. Style prompt data preparation: Code for preparing synthetic annotations of style prompts.
+
+## 0. Download LibriTTS_R
+
+Before running any scripts, be sure to put the [LibriTTS-R](https://www.openslr.org/141/) dataset to `./LibriTTS_R`. You must have the following directory structure:
+
+```
+LibriTTS_R/
+├── BOOKS.txt
+├── CHAPTERS.txt
+├── LICENSE.txt
+├── NOTE.txt
+├── README_librispeech.txt
+├── README_libritts.txt
+├── README_libritts_r.txt
+├── SPEAKERS.txt
+├── dev-clean
+├── dev-other
+├── reader_book.tsv
+├── speakers.tsv
+├── test-clean
+├── test-other
+├── train-clean-100
+├── train-clean-360
+└── train-other-500
+```
+
+## 1. MFA data preparation
+
+### Setup for MFA
+
+```
+conda install -c conda-forge montreal-forced-aligner
+```
+
+```
+mfa model download dictionary english_us_arpa
+mfa model download acoustic english_us_arpa
+```
+
+### Usage
+
+Please check `runall_mfa.sh` for the usage.
+
+Note that running MFA for all the utterances in LibriTTS-R takes a long time (likely a few days).
+
+
+### Directory structure
+
+After all the data preparation steps, the following directories will be created:
+
+- `libritts_r_per_spk_cleaned`
+  - `${spk}`
+    - `textgrid`: text grid files
+    - `wav24k`: 24kHz wav files
+
+```
+├── 100
+│   ├── textgrid
+│   └── wav24k
+├── 1001
+│   ├── textgrid
+│   └── wav24k
+├── 1006
+│   ├── textgrid
+│   └── wav24k
+...
+```
+
+
+## 2. Style prompt data preparation
+
+Code for estimating per-utterance style tags (e.g., low pitch, normal pitch and high pitch) from the data statistics.
+
+### Usage
+
+Please check `runall_style_prompt_tags.sh` for the usage.

data_prep/add_style_prompt_tags.py

@@ -0,0 +1,294 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import argparse
+import sys
+from pathlib import Path
+
+import numpy as np
+import pandas as pd
+import yaml
+from common import getLogger, load_libritts_spk_metadata
+from sklearn.preprocessing import StandardScaler
+from tqdm.auto import tqdm
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(
+        description="Add style prompt tags and save the results to a CSV file",
+    )
+    parser.add_argument("in_dir", type=str, help="LibriTTS original data root")
+    parser.add_argument("utt_stats", type=str, help="Utterance stats file")
+    parser.add_argument(
+        "style_prompt_candidates", type=str, help="Style prompt candidates"
+    )
+    parser.add_argument("--debug", action="store_true", help="Debug")
+
+    parser.add_argument(
+        "--out_filename",
+        type=str,
+        default="metadata_w_style_prompt_key.csv",
+        help="Output filename",
+    )
+
+    return parser
+
+
+def norm2label(val, level=3, labels=None):
+    """Map a N(0, 1) normalized value to a discrete label
+
+    Args:
+        val (float): Normalized value
+        level (int, optional): Number of levels. Defaults to 3.
+        labels (List[str], optional): Labels. Defaults to None.
+
+    Returns:
+        str: Label
+    """
+    if labels is None:
+        labels = ["low", "normal", "high"]
+    if level == 3:
+        # (-∞, -0.7]: low
+        # (-0.7, 0.7]: normal
+        # (0.7, ∞]: high
+
+        if val < -0.7:
+            return labels[0]
+        elif val > 0.7:
+            return labels[2]
+        else:
+            return labels[1]
+    elif level == 5:
+        # (-∞, -1.3): very low
+        # [-1.3, -0.5): low
+        # [-0.5, 0.5): normal
+        # [0.5, 1.3): high
+        # [1.3, ∞]: very high
+        if val < -1.3:
+            return f"very {labels[0]}"
+        elif val >= -1.3 and val < -0.5:
+            return f"{labels[0]}"
+        elif val >= -0.5 and val < 0.5:
+            return labels[1]
+        elif val >= 0.5 and val < 1.3:
+            return labels[2]
+        else:
+            return f"very {labels[2]}"
+
+
+def speeking_speed_pseudo_label(spk2meta, scalers, val, spk, level=3):
+    gender = spk2meta[spk]["gender"]
+    scaler = scalers[gender]
+
+    val_scaled = (val - scaler.mean_[0]) / scaler.scale_[0]
+
+    return norm2label(val_scaled, level=level, labels=["slow", "normal", "fast"])
+
+
+def pitch_pseudo_label(spk2meta, scalers, val, spk, level=3):
+    gender = spk2meta[spk]["gender"]
+    scaler = scalers[gender]
+
+    val_scaled = (val - scaler.mean_[0]) / scaler.scale_[0]
+
+    return norm2label(val_scaled, level=level, labels=["low", "normal", "high"])
+
+
+def energy_pseudo_label(spk2meta, scalers, val, spk, level=3):
+    gender = spk2meta[spk]["gender"]
+    scaler = scalers[gender]
+
+    val_scaled = (val - scaler.mean_[0]) / scaler.scale_[0]
+
+    return norm2label(val_scaled, level=level, labels=["low", "normal", "high"])
+
+
+def uttid2path(utt_id, data_root, spk2meta):
+    (
+        spk,
+        subset2,
+        _,
+    ) = utt_id.split("_", 2)
+
+    subset = spk2meta[spk]["subset"]
+
+    path = data_root / subset / spk / subset2 / f"{utt_id}.wav"
+
+    return path
+
+
+if __name__ == "__main__":
+    args = get_parser().parse_args(sys.argv[1:])
+
+    in_dir = Path(args.in_dir)
+
+    spk2meta = load_libritts_spk_metadata(debug=args.debug)
+    logger = getLogger(
+        verbose=100, filename="log/add_style_prompt.log", name="add_style_prompt"
+    )
+
+    logger.info("Loading utterance stats...")
+    with open(args.utt_stats) as f:
+        libritts_r_per_utt_metadata = yaml.load(f, Loader=yaml.SafeLoader)
+    logger.info("Done")
+
+    failed_utt_ids = []
+    for path in Path("./external/libritts_r_failed_speech_restoration_examples/").glob(
+        "*_list.txt"
+    ):
+        with open(path) as f:
+            for line in f:
+                if len(line.strip()) > 0:
+                    utt_id = Path(line.strip()).stem
+                    failed_utt_ids.append(utt_id)
+
+    df_style_prompt = pd.read_csv(
+        args.style_prompt_candidates,
+        header=None,
+        sep="|",
+        names=["style_key", "prompt"],
+    )
+    style_prompt_dict = {}
+    for _, row in df_style_prompt.iterrows():
+        style_key, style_prompt = row.iloc[0], row.iloc[1]
+        assert isinstance(style_prompt, str)
+        style_prompt_dict[style_key] = list(
+            map(lambda s: s.lower().strip(), style_prompt.split(";"))
+        )
+
+    # Loudness
+    logger.info("Computing loudness stats...")
+    all_loudness_mean = {"F": [], "M": []}
+    for utt_id, meta in tqdm(libritts_r_per_utt_metadata.items()):
+        if meta["invalid"] == 1:
+            continue
+        spk = utt_id.split("_")[0]
+        gender = spk2meta[spk]["gender"]
+        all_loudness_mean[gender].append(meta["raw_loudness_mean"])
+    all_loudness_mean_norm = {"F": [], "M": []}
+    scalers_loudness_mean = {"F": StandardScaler(), "M": StandardScaler()}
+    for k, scaler in scalers_loudness_mean.items():
+        arr = np.array(all_loudness_mean[k]).reshape(-1, 1)
+        scaler.fit(arr)
+        all_loudness_mean_norm[k] = scaler.transform(arr).reshape(-1)
+    logger.info("Done")
+
+    # log-F0
+    logger.info("Computing log-F0 stats...")
+    all_lf0_mean = {"F": [], "M": []}
+    for utt_id, meta in tqdm(libritts_r_per_utt_metadata.items()):
+        if meta["invalid"] == 1:
+            continue
+
+        spk = utt_id.split("_")[0]
+        gender = spk2meta[spk]["gender"]
+        all_lf0_mean[gender].append(meta["raw_lf0_mean"])
+    all_lf0_mean_norm = {"F": [], "M": []}
+    scalers_lf0_mean = {"F": StandardScaler(), "M": StandardScaler()}
+    for k, scaler in scalers_lf0_mean.items():
+        if meta["invalid"] == 1:
+            continue
+
+        arr = np.array(all_lf0_mean[k]).reshape(-1, 1)
+        scaler.fit(arr)
+        all_lf0_mean_norm[k] = scaler.transform(arr).reshape(-1)
+    logger.info("Done")
+
+    # speaking speed
+    logger.info("Computing speaking speed stats...")
+    all_speaking_rate = {"F": [], "M": []}
+    for utt_id, meta in tqdm(libritts_r_per_utt_metadata.items()):
+        if meta["invalid"] == 1:
+            continue
+
+        spk = utt_id.split("_")[0]
+        gender = spk2meta[spk]["gender"]
+        all_speaking_rate[gender].append(meta["raw_speaking_rate"])
+    all_speaking_rate_norm = {"F": [], "M": []}
+    scalers_speaking_rate = {"F": StandardScaler(), "M": StandardScaler()}
+    for k, scaler in scalers_speaking_rate.items():
+        if meta["invalid"] == 1:
+            continue
+
+        arr = np.array(all_speaking_rate[k]).reshape(-1, 1)
+        scaler.fit(arr)
+        all_speaking_rate_norm[k] = scaler.transform(arr).reshape(-1)
+    logger.info("Done")
+
+    rows = []
+    for idx, (k, v) in tqdm(enumerate(libritts_r_per_utt_metadata.items())):
+        if args.debug and idx > 100:
+            break
+
+        spk_id = k.split("_")[0]
+        gender = spk2meta[spk_id]["gender"]
+
+        # content_prompt
+        text_path = Path(
+            uttid2path(k, in_dir, spk2meta)
+            .as_posix()
+            .replace(".wav", ".normalized.txt")
+        )
+        assert text_path.exists()
+        content_prompt = open(text_path).read().strip()
+
+        # Peseudo labeling
+        level = 5
+        pitch = pitch_pseudo_label(
+            spk2meta, scalers_lf0_mean, v["raw_lf0_mean"], spk_id, level=level
+        )
+        speaking_speed = speeking_speed_pseudo_label(
+            spk2meta, scalers_speaking_rate, v["raw_speaking_rate"], spk_id, level=level
+        )
+        energy = energy_pseudo_label(
+            spk2meta, scalers_loudness_mean, v["raw_loudness_mean"], spk_id, level=level
+        )
+
+        pitch3 = pitch.replace("very", "").strip()
+        speaking_speed3 = speaking_speed.replace("very", "").strip()
+        energy3 = energy.replace("very", "").strip()
+
+        style_key = f"{gender}_p-{pitch3}_s-{speaking_speed3}_e-{energy3}"
+        style_prompts = style_prompt_dict[style_key]
+
+        rows.append(
+            {
+                "item_name": k,
+                "spk_id": spk_id,
+                "gender": gender,
+                "pitch": pitch,
+                "speaking_speed": speaking_speed,
+                "energy": energy,
+                "content_prompt": content_prompt,
+                "style_prompt_key": style_key,
+                # speaker name is unused but for compatibility with older scripts
+                "raw_f0_mean": v["raw_f0_mean"],
+                "raw_f0_scale": v["raw_f0_scale"],
+                "raw_lf0_mean": v["raw_lf0_mean"],
+                "raw_lf0_scale": v["raw_lf0_scale"],
+                "raw_speaking_rate": v["raw_speaking_rate"],
+                "raw_loudness_lufs": v["raw_loudness_lufs"],
+                "raw_loudness_mean": v["raw_loudness_mean"],
+                "raw_loudness_scale": v["raw_loudness_scale"],
+                "invalid": v["invalid"],
+            }
+        )
+
+    df_new = pd.DataFrame(rows)
+
+    df_new.loc[df_new.content_prompt.str.startswith("-"), "invalid"] = 1
+    df_new.loc[df_new.item_name.isin(failed_utt_ids), "invalid"] = 1
+
+    df_new.to_csv(args.out_filename, index=False, header=True)
+    logger.info(f"Saved to {args.out_filename}")

data_prep/common.py

@@ -0,0 +1,65 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import logging
+import os
+from os.path import dirname
+
+format = "%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s"
+
+
+def getLogger(verbose=0, filename=None, name="ttwave"):
+    logger = logging.getLogger(name)
+    if verbose >= 100:
+        logger.setLevel(logging.DEBUG)
+    elif verbose > 0:
+        logger.setLevel(logging.INFO)
+    else:
+        logger.setLevel(logging.WARN)
+
+    stream_handler = logging.StreamHandler()
+    stream_handler.setFormatter(logging.Formatter(format))
+    logger.addHandler(stream_handler)
+
+    if filename is not None:
+        os.makedirs(dirname(filename), exist_ok=True)
+        file_handler = logging.FileHandler(filename=filename)
+        file_handler.setLevel(logging.INFO)
+        file_handler.setFormatter(logging.Formatter(format))
+        logger.addHandler(file_handler)
+
+    return logger
+
+
+def load_libritts_spk_metadata(path="external/speakers.tsv", debug=False):
+    spk2meta = {}
+    with open(path) as f:
+        lines = f.readlines()
+        for line in lines[1:]:  # skip header
+            vals = line.strip().split("\t")
+            if len(vals) == 4:
+                spk, gender, subset, name = vals
+            elif len(vals) == 3:
+                spk, gender, subset = vals
+                name = "Unknown"
+            spk2meta[spk] = {"gender": gender, "subset": subset, "name": name}
+
+    if debug:
+        eval_spks = [1188, 1995, 260]
+        val_spks = [89, 90, 91]
+        train_spks = [100, 101, 102, 1001]
+        spks = eval_spks + val_spks + train_spks
+        spk2meta = {k: v for k, v in spk2meta.items() if int(k) in spks}
+
+    return spk2meta

data_prep/compute_utt_stats.py

@@ -0,0 +1,212 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import argparse
+import sys
+from concurrent.futures import ProcessPoolExecutor
+from pathlib import Path
+
+import librosa
+import numpy as np
+import pyloudnorm as pyln
+import pyworld
+import soundfile as sf
+import syllables
+import yaml
+from common import getLogger, load_libritts_spk_metadata
+from promptttspp.utils.textgrid import read_textgrid
+from tqdm.auto import tqdm
+
+
+def compute_speaking_rate(textgrid_path):
+    labels = read_textgrid(textgrid_path.as_posix(), "words")
+    if len(labels) < 2:
+        return -1
+    assert len(labels) >= 2
+
+    start_time = None
+    end_time = 0
+    num_syllables = 0
+
+    sil_dur = 0
+    for label in labels:
+        if start_time is None and len(label.name) > 0:
+            start_time = label.start
+        if len(label.name) > 0:
+            num_syllables += syllables.estimate(label.name)
+        else:
+            sil_dur += label.stop - label.start
+    end_time = labels[-1].stop
+
+    try:
+        rate = num_syllables / (end_time - start_time - sil_dur)
+    except ZeroDivisionError:
+        print(f"warn: {textgrid_path}. {end_time}, {start_time}, {sil_dur}")
+        rate = -1
+    if rate < 0:
+        print(f"warn: {textgrid_path}. {end_time}, {start_time}, {sil_dur}")
+        rate = -1
+
+    return round(rate, 2)
+
+
+def loudness_extract(audio, sampling_rate, n_fft=1024, hop_length=240):
+    stft = librosa.stft(audio, n_fft=n_fft, hop_length=hop_length) + 1e-7
+    power_spectrum = np.abs(stft) ** 2
+    bins = librosa.fft_frequencies(sr=sampling_rate, n_fft=n_fft)
+    bins[0] += 1e-5  # To prevent zero division
+    loudness = librosa.perceptual_weighting(power_spectrum, bins)
+    loudness = librosa.db_to_power(loudness)
+    loudness = np.log(np.mean(loudness, axis=0) + 1e-5)
+    return loudness
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(
+        description="Compute per-utterance statistics",
+    )
+    parser.add_argument(
+        "in_dir", type=str, help="LibriTTS per-speaker restructured data root"
+    )
+    parser.add_argument("f0_stats", type=str, help="f0 stats")
+    parser.add_argument(
+        "--out_filename",
+        type=str,
+        default="libritts_r_metadata.yaml",
+        help="Output filename",
+    )
+    parser.add_argument("--num_jobs", type=int, default=8, help="Number of jobs")
+    parser.add_argument("--debug", action="store_true", help="Debug")
+
+    return parser
+
+
+def process_utterance(logger, wav_file, textgrid_file, f0_stats):
+    utt_id = wav_file.stem
+    spk = utt_id.split("_")[0]
+    x, sr = sf.read(wav_file)
+    hop_length = int(sr * 0.010)
+
+    invalid = 0
+
+    # Loudness in LUFS
+    block_size = min(0.4, len(x) / sr - 0.01)
+    meter = pyln.Meter(sr, block_size=block_size)
+    loudness_lufs = round(meter.integrated_loudness(x), 2)
+
+    # Per-frame loudness
+    frame_loudness = loudness_extract(x, sr, n_fft=1024, hop_length=hop_length)
+
+    # F0
+    if spk in f0_stats:
+        f0_floor = f0_stats[spk]["f0_floor"]
+        f0_ceil = f0_stats[spk]["f0_ceil"]
+    else:
+        f0_floor = 70
+        f0_ceil = 800
+        logger.warning(f"Using default f0_floor={f0_floor}, f0_ceil={f0_ceil}")
+
+    f0, timeaxis = pyworld.dio(
+        x, sr, frame_period=5, f0_floor=f0_floor, f0_ceil=f0_ceil
+    )
+    f0 = pyworld.stonemask(x, f0, timeaxis, sr)
+    f0_v = f0[f0 > 0]
+    lf0_v = np.log(f0_v)
+
+    # e.g. 14_212_000011_000004, 14_212_000011_000009, 14_212_000018_000001
+    if len(f0_v) == 0:
+        logger.warning(f"{utt_id} has no f0")
+        f0_mean = 0
+        f0_scale = 1.0
+        invalid = 1
+        lf0_mean = 0
+        lf0_scale = 1.0
+    else:
+        lf0_mean = np.mean(lf0_v)
+        lf0_scale = np.std(lf0_v)
+        f0_mean = np.mean(f0_v)
+        f0_scale = np.std(f0_v)
+
+    try:
+        speaking_rate = compute_speaking_rate(textgrid_file)
+        if speaking_rate < 0:
+            invalid = 1
+    except RuntimeError:
+        logger.warning(f"{utt_id} has no valid speaking rate")
+        speaking_rate = 0
+        invalid = 1
+
+    out = {
+        "raw_loudness_lufs": round(float(loudness_lufs), 2),
+        "raw_loudness_mean": round(float(frame_loudness.mean()), 2),
+        "raw_loudness_scale": round(float(frame_loudness.std()), 2),
+        "raw_f0_mean": round(float(f0_mean), 2),
+        "raw_f0_scale": round(float(f0_scale), 2),
+        "raw_lf0_mean": round(float(lf0_mean), 2),
+        "raw_lf0_scale": round(float(lf0_scale), 2),
+        "raw_speaking_rate": round(float(speaking_rate), 2),
+        "invalid": invalid,
+    }
+
+    return utt_id, out
+
+
+if __name__ == "__main__":
+    args = get_parser().parse_args(sys.argv[1:])
+
+    num_jobs = int(args.num_jobs)
+
+    spk2meta = load_libritts_spk_metadata(debug=args.debug)
+    in_dir = Path(args.in_dir)
+
+    logger = getLogger(
+        verbose=100, filename="log/compute_utt_stats.log", name="compute_utt_stats"
+    )
+
+    executor = ProcessPoolExecutor(max_workers=num_jobs)
+    futures = []
+
+    with open(args.f0_stats) as f:
+        f0_stats = yaml.load(f, Loader=yaml.SafeLoader)
+
+    for spk, _ in tqdm(spk2meta.items()):
+        spk_in_dir = in_dir / spk
+        spk_mfa_dir = spk_in_dir / "textgrid"
+
+        if not spk_in_dir.exists():
+            continue
+
+        textgrid_files = sorted(list(spk_mfa_dir.glob("*.TextGrid")))
+        # valid utt_ids
+        utt_ids = [f.stem for f in textgrid_files]
+        wav_files = [spk_in_dir / "wav24k" / f"{utt_id}.wav" for utt_id in utt_ids]
+
+        for wav_file, textgrid_file in zip(wav_files, textgrid_files):
+            futures.append(
+                executor.submit(
+                    process_utterance,
+                    logger,
+                    wav_file,
+                    textgrid_file,
+                    f0_stats,
+                )
+            )
+
+    metadata = {}
+    for future in tqdm(futures):
+        utt_id, meta = future.result()
+        metadata[utt_id] = meta
+
+    with open(args.out_filename, "w") as of:
+        yaml.dump(metadata, of)

data_prep/external/README.md

@@ -0,0 +1,3 @@
+Files in this directory were extracted from: https://www.openslr.org/141/
+
+We put some files here for convenience.

data_prep/external/libritts_r_failed_speech_restoration_examples/README.txt

@@ -0,0 +1,9 @@
+These text files contain file paths where speech restoration by Miipher [1] may have failed. Speech restoration is not always perfect, so some phonemes may be lost or changed during the restoration process.
+
+The authors of the LibriTTS-R paper [2] ran automatic speech recognition (ASR) on all LibriTTS-R samples and created these lists of samples with a word error rate (WER) above a certain threshold. The experiments in the LibriTTS-R paper were conducted using these files that may have failed to be restored. However, the files included in these lists are likely to have uncorresponding transcripts and waveforms. Therefore, we recommend excluding them during model training.
+
+In addition, some of the original LibriTTS samples do not align the transcript and waveform, such as mentioned in LibriTTSLabel [3] used in ESPnet. We recommend that users re-execute force alignment for LibriTTS-R.
+
+[1] Y. Koizumi, et al., "Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations," WASPAA 2023.
+[2] Y. Koizumi, et al., "LibriTTS-R: Restoration of a Large-Scale Multi-Speaker TTS Corpus," INTERSPEECH 2023.
+[3] https://github.com/kan-bayashi/LibriTTSLabel 

data_prep/external/libritts_r_failed_speech_restoration_examples/dev-clean_bad_sample_list.txt

@@ -0,0 +1,147 @@
+./dev-clean/1272/135031/1272_135031_000028_000000.wav
+./dev-clean/1272/135031/1272_135031_000047_000000.wav
+./dev-clean/1272/135031/1272_135031_000051_000000.wav
+./dev-clean/1272/135031/1272_135031_000060_000000.wav
+./dev-clean/1272/141231/1272_141231_000006_000000.wav
+./dev-clean/1272/141231/1272_141231_000018_000002.wav
+./dev-clean/1272/141231/1272_141231_000033_000001.wav
+./dev-clean/1462/170138/1462_170138_000003_000006.wav
+./dev-clean/1462/170138/1462_170138_000005_000000.wav
+./dev-clean/1462/170138/1462_170138_000015_000000.wav
+./dev-clean/1462/170138/1462_170138_000015_000011.wav
+./dev-clean/1462/170142/1462_170142_000004_000000.wav
+./dev-clean/1462/170142/1462_170142_000010_000000.wav
+./dev-clean/1462/170142/1462_170142_000029_000000.wav
+./dev-clean/1462/170142/1462_170142_000032_000002.wav
+./dev-clean/1462/170142/1462_170142_000038_000000.wav
+./dev-clean/1462/170142/1462_170142_000042_000002.wav
+./dev-clean/1462/170142/1462_170142_000042_000009.wav
+./dev-clean/1462/170142/1462_170142_000046_000000.wav
+./dev-clean/174/84280/174_84280_000008_000001.wav
+./dev-clean/174/84280/174_84280_000010_000001.wav
+./dev-clean/174/84280/174_84280_000011_000004.wav
+./dev-clean/1919/142785/1919_142785_000004_000000.wav
+./dev-clean/1919/142785/1919_142785_000016_000000.wav
+./dev-clean/1919/142785/1919_142785_000063_000000.wav
+./dev-clean/1919/142785/1919_142785_000104_000000.wav
+./dev-clean/1919/142785/1919_142785_000121_000000.wav
+./dev-clean/1988/147956/1988_147956_000006_000001.wav
+./dev-clean/1988/24833/1988_24833_000036_000000.wav
+./dev-clean/1988/24833/1988_24833_000042_000000.wav
+./dev-clean/1993/147966/1993_147966_000011_000004.wav
+./dev-clean/2035/147960/2035_147960_000013_000001.wav
+./dev-clean/2035/147960/2035_147960_000018_000002.wav
+./dev-clean/2035/147961/2035_147961_000024_000007.wav
+./dev-clean/2078/142845/2078_142845_000018_000000.wav
+./dev-clean/2078/142845/2078_142845_000033_000000.wav
+./dev-clean/2078/142845/2078_142845_000043_000000.wav
+./dev-clean/2078/142845/2078_142845_000054_000000.wav
+./dev-clean/2078/142845/2078_142845_000059_000000.wav
+./dev-clean/2086/149220/2086_149220_000014_000002.wav
+./dev-clean/2086/149220/2086_149220_000021_000006.wav
+./dev-clean/2086/149220/2086_149220_000022_000002.wav
+./dev-clean/2086/149220/2086_149220_000037_000000.wav
+./dev-clean/2277/149896/2277_149896_000004_000003.wav
+./dev-clean/2277/149897/2277_149897_000029_000000.wav
+./dev-clean/2277/149897/2277_149897_000031_000001.wav
+./dev-clean/2277/149897/2277_149897_000047_000001.wav
+./dev-clean/2412/153954/2412_153954_000007_000000.wav
+./dev-clean/2428/83699/2428_83699_000003_000000.wav
+./dev-clean/2428/83699/2428_83699_000019_000000.wav
+./dev-clean/2428/83705/2428_83705_000010_000000.wav
+./dev-clean/251/118436/251_118436_000002_000000.wav
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+./dev-clean/251/118436/251_118436_000028_000000.wav
+./dev-clean/251/118436/251_118436_000032_000001.wav
+./dev-clean/251/137823/251_137823_000032_000000.wav
+./dev-clean/251/137823/251_137823_000035_000000.wav
+./dev-clean/251/137823/251_137823_000060_000001.wav
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+./dev-clean/8842/302203/8842_302203_000004_000004.wav

data_prep/external/libritts_r_failed_speech_restoration_examples/dev-other_bad_sample_list.txt

@@ -0,0 +1,271 @@
+./dev-other/116/288045/116_288045_000008_000004.wav
+./dev-other/116/288045/116_288045_000013_000000.wav
+./dev-other/116/288045/116_288045_000016_000004.wav
+./dev-other/116/288045/116_288045_000031_000001.wav
+./dev-other/116/288046/116_288046_000004_000005.wav
+./dev-other/116/288046/116_288046_000007_000001.wav
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+./dev-other/116/288046/116_288046_000011_000002.wav
+./dev-other/116/288047/116_288047_000001_000000.wav
+./dev-other/116/288047/116_288047_000007_000003.wav
+./dev-other/116/288047/116_288047_000017_000002.wav
+./dev-other/116/288048/116_288048_000003_000001.wav
+./dev-other/116/288048/116_288048_000005_000004.wav
+./dev-other/1255/138279/1255_138279_000012_000002.wav
+./dev-other/1255/138279/1255_138279_000012_000004.wav
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+./dev-other/1255/138279/1255_138279_000045_000000.wav
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+./dev-other/1255/138279/1255_138279_000056_000002.wav
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data_prep/external/speakers.tsv

@@ -0,0 +1,2485 @@
+READER	GENDER	SUBSET NAME
+14	F	train-clean-360	Kristin LeMoine
+16	F	train-clean-360	Alys AtteWater
+17	M	train-clean-360	Gord Mackenzie
+19	F	train-clean-100	Kara Shallenberg
+20	F	train-other-500	Gesine
+22	F	train-clean-360	Michelle Crandall
+23	F	train-clean-360	Anita Roy Dobbs
+25	M	train-other-500	John Gonzalez
+26	M	train-clean-100	Denny Sayers
+27	M	train-clean-100	Sean McKinley
+28	F	train-clean-360	Kristin Hughes
+29	M	train-other-500	Linton
+30	F	train-clean-360	Annie Coleman Rothenberg
+31	M	train-other-500	Martin Clifton
+32	F	train-clean-100	Betsie Bush
+36	M	train-other-500	Chip
+37	M	train-other-500	wolvrin
+38	M	train-clean-360	R. Francis Smith
+39	F	train-clean-100	Sherry Crowther
+40	F	train-clean-100	Vicki Barbour
+44	F	train-other-500	travelbratd
+45	F	train-other-500	Kelly Bescherer
+46	M	train-other-500	Aaron Hochwimmer
+47	F	train-other-500	Amanda
+49	M	train-other-500	vrk74
+51	M	train-other-500	rakkar
+52	F	train-other-500	Luisa Hall
+54	F	train-clean-360	Westwinds12
+55	M	train-clean-360	David Jaquay
+56	F	train-clean-360	Kirsten Ferreri
+57	F	train-other-500	Ophelia Darcy
+58	M	train-other-500	George Coutts
+60	M	train-clean-100	
+61	M	test-clean	Paul-Gabriel Wiener
+62	M	train-other-500	Faris
+64	F	train-clean-360	Robin Cotter
+65	F	train-other-500	chriss the girl
+66	M	train-other-500	Alex Foster
+70	M	train-clean-360	Kurt Copeland
+75	M	train-other-500	Jim Mowatt
+77	F	train-other-500	JemmaBlythe
+78	M	train-clean-100	Hugh McGuire
+79	F	train-clean-360	Jennifer Crispin
+81	M	train-clean-360	Aaron Decker
+82	F	train-other-500	Marlo Dianne
+83	F	train-clean-100	Catharine Eastman
+84	F	dev-clean	Christie Nowak
+85	M	train-other-500	David Leaman
+87	F	train-clean-100	Rosalind Wills
+89	F	train-clean-100	Kristen McQuillin
+90	M	train-clean-360	Dan Threetrees
+91	M	train-other-500	Stephan Mobius
+92	F	train-other-500	Cori Samuel
+93	F	train-clean-360	Kathy
+94	M	train-other-500	David Barnes
+98	F	train-clean-360	Patricia Oakley
+100	F	train-clean-360	Judy Bieber
+101	M	train-clean-360	paulino
+102	F	train-other-500	Linda Leu
+103	F	train-clean-100	Karen Savage
+104	F	train-other-500	Laura M.D.
+107	M	train-other-500	John Greenman
+110	F	train-other-500	Cynthia Lyons (1946-2011)
+111	F	train-other-500	Linda Wilcox
+112	F	train-clean-360	Christiane Levesque
+114	F	train-clean-360	Jen Kidd
+115	F	train-clean-360	Maddie
+116	M	dev-other	Steven Collins
+118	M	train-clean-100	Alex Buie
+119	M	train-clean-360	Alex Patterson
+121	F	test-clean	Nikolle Doolin
+122	M	train-clean-360	J.C.
+123	F	train-other-500	Ezwa
+125	F	train-clean-100	Claire Goget
+126	F	train-clean-360	Susan Denney
+127	M	train-other-500	John Hicken
+128	M	train-other-500	ML Cohen
+133	M	train-other-500	Mick
+147	M	train-other-500	Thomas Hoover
+149	M	train-other-500	Joshua Young
+150	F	train-clean-100	Fox in the Stars
+151	F	train-other-500	Gwen
+152	M	train-other-500	Andy Minter
+153	M	train-other-500	Graham Williams
+154	M	train-clean-360	Robert Foster
+157	M	train-clean-360	Ben Douglas
+159	M	train-clean-360	hugh mac
+161	M	train-other-500	Cyril Law, Jr.
+163	M	train-clean-100	Andrew Miller
+166	F	train-clean-360	Paula Berinstein
+167	M	train-other-500	Peter Yearsley
+168	M	train-other-500	Chris Goringe
+173	F	train-other-500	vlooi
+174	M	dev-clean	Peter Eastman
+175	F	train-clean-360	Meredith Hughes
+176	M	train-clean-360	Vinny Bove
+177	F	train-other-500	Kymm Zuckert
+188	F	train-clean-360	Mary Anderson
+192	F	train-clean-360	Deborah Clark
+196	M	train-clean-100	Stewart Wills
+198	F	train-clean-100	Heather Barnett
+199	F	train-other-500	Maria Morabe
+200	F	train-clean-100	Maureen S. O'Brien
+201	M	train-clean-100	Joplin James
+202	F	train-other-500	Geetu Melwani
+203	F	train-clean-360	Marian Brown
+204	M	train-clean-360	Mark F. Smith
+205	F	train-clean-360	Esther
+207	M	train-clean-360	Kevin McAsh
+208	F	train-clean-360	Andrea L
+209	F	train-clean-360	Moira Fogarty
+210	M	train-clean-360	Aldark
+211	F	train-clean-100	shanda_w
+215	F	train-other-500	Alice Elizabeth Still
+216	M	train-clean-360	Thomas Davoren
+217	F	train-clean-360	firefly
+218	M	train-other-500	Kelly Clear
+224	F	train-clean-360	Caitlin Kelly
+225	F	train-clean-360	Brenda Dayne
+226	F	train-clean-100	Deb Bacon-Ziegler
+227	F	train-clean-360	Sarah Key-DeLyria
+228	F	train-other-500	Arctura
+229	M	train-clean-100	carnright
+231	M	train-clean-360	Sean McGaughey
+233	M	train-clean-100	Steve Karafit
+237	F	test-clean	rachelellen
+238	F	train-other-500	Maria Elmvang
+240	M	train-clean-360	Shurtagal
+242	F	train-clean-360	Cagirlwithasoutherndrawl
+243	F	train-other-500	Jennifer Stearns
+245	M	train-other-500	Peter of Buckinghamshire England
+246	F	train-clean-360	Beth Dudek
+248	F	train-clean-100	Becky Miller
+249	M	train-clean-360	pww214
+250	F	train-clean-100	Mary Reagan
+251	M	dev-clean	Mark Nelson
+252	M	train-other-500	Rainer
+253	M	train-other-500	Stefan Schmelz
+254	M	train-clean-100	Alan Davis Drake (1945-2010)
+255	M	train-other-500	Chris Hawk
+258	M	train-clean-360	Kurt Wong
+260	M	test-clean	Brad Bush
+263	M	train-other-500	Michael Sirois
+264	M	train-other-500	Chris Hughes
+265	M	train-other-500	Janice
+272	M	train-clean-360	Mr. Baby Man
+273	M	train-other-500	Jim Cadwell
+274	F	train-clean-360	Eileen George
+277	F	train-other-500	Alessia
+278	F	train-clean-360	AliceG
+283	M	train-other-500	Asaf Bartov
+288	F	train-clean-360	Bookworm
+289	F	train-clean-100	Barbara Wedge
+294	F	train-other-500	Calliope
+296	M	train-clean-360	Carl Manchester
+298	F	train-clean-100	Caroline Morse
+302	F	train-clean-100	Chris Peterson
+303	M	train-clean-360	Tony Hightower
+307	M	train-clean-100	Randy Phillips
+310	F	train-other-500	Dexnell Peters
+311	M	train-clean-100	deadwhitemales
+313	F	train-other-500	Dilini Jayasinghe
+317	M	train-other-500	Mike Gardom
+318	F	train-clean-360	Eileen aka e
+319	M	train-other-500	Ed Good
+322	F	train-clean-100	Elisabeth Shields
+323	F	train-clean-360	Erica Kuntz
+328	F	train-clean-100	Elizabeth Palmer
+329	M	train-clean-360	Todd Cranston-Cuebas
+331	M	train-other-500	Richard Grove
+332	M	train-clean-100	Aaron Teiser
+335	M	train-clean-360	Paul Harvey
+336	M	train-other-500	Harvey Chinn
+337	F	train-clean-360	Barbara Harvey
+339	F	train-clean-360	Heather Ordover
+340	M	train-clean-360	Scott Henkel
+345	M	train-clean-360	Micah Sheppard
+348	M	train-other-500	ianish
+353	M	train-clean-360	Jamey Osborne
+359	M	train-clean-360	John Nicholson
+362	F	train-clean-360	Judith Brown
+365	M	train-other-500	Jon Ingram
+366	F	train-other-500	Katy Preston
+367	F	test-other	Kathleen Dang
+369	M	train-clean-360	Kevin Readdean
+373	F	train-clean-360	Kim Braun
+374	M	train-clean-100	kumarei
+377	M	train-other-500	Lenny Glionna Jr.
+380	F	train-clean-360	Laurie Campbell
+392	F	train-other-500	Maria Celano
+398	M	train-clean-360	James Smith
+402	F	train-other-500	Sharmini Kumar
+403	F	train-clean-100	Nocturna
+404	F	train-other-500	Nomenphile
+405	M	train-clean-100	Eric Dennison
+408	F	train-clean-360	Claudine Chen
+409	M	train-clean-360	Mike Kauffmann
+412	M	train-clean-100	Brian Roberg
+413	M	train-other-500	Daniel Watkins
+421	M	train-other-500	Patrick
+422	M	dev-clean	President Lethe
+426	F	train-clean-100	Norah Piehl
+428	M	train-other-500	Rayburn Beale
+432	M	train-other-500	Steve Andersen
+434	F	train-clean-360	Joyce Nussbaum
+439	M	train-clean-360	Robert Garrison
+441	F	train-clean-100	Sandra in Wales, United Kingdom
+444	F	train-other-500	Sage Tyrtle
+445	M	train-clean-100	Dave Foss
+446	M	train-clean-100	Steve Hartzog
+448	F	train-other-500	scrappylibrarian
+451	F	train-clean-360	Sonserae Leese-Calver
+453	M	train-other-500	Glen Hallstrom
+454	M	train-clean-360	Tom Yates
+458	M	train-clean-100	Scott Splavec
+459	M	train-clean-360	Mark Bradford
+460	M	train-clean-100	Dave Ranson
+464	M	train-clean-360	Mike Wilson
+466	F	train-other-500	Joy Chan
+470	M	train-other-500	Chris Chapman
+472	F	train-clean-360	Tina Tilney
+474	M	train-other-500	Zachary Brewster-Geisz
+475	M	train-clean-360	Jason X.
+476	M	train-clean-360	Chuck Spann
+479	F	train-clean-360	wedschild
+480	M	train-clean-360	Chris Vee
+481	M	train-clean-100	Neal Foley
+483	F	train-other-500	junk science
+487	M	train-clean-360	Clayton J. Smith
+489	F	train-other-500	Tora
+492	M	train-clean-360	TBOL3
+497	M	train-clean-360	audiotoshokan
+500	M	train-clean-360	galaxiant
+501	M	train-clean-360	mikenkat
+505	M	train-other-500	Menno
+510	M	train-clean-360	Kirk Thomas
+511	M	train-clean-360	Matthew Shepherd
+512	M	train-clean-360	Anthony Craine
+517	M	train-other-500	Matthew Walton
+525	F	train-clean-360	Victoria Long
+533	F	test-other	Ana Simao
+534	F	train-clean-360	Jean O'Sullivan
+542	M	train-other-500	J. Hall
+543	M	train-clean-360	Ted Delorme
+544	M	train-other-500	bozgeez
+548	M	train-clean-360	Chris Mitchell
+549	F	train-clean-360	SarahHadley
+551	M	train-other-500	Guntar
+557	M	train-other-500	fieldsofgold
+559	M	train-clean-360	Bill Stackpole
+561	M	train-clean-360	Quentin
+567	M	train-other-500	Aaron Benedict
+568	M	train-other-500	JD Weber
+569	M	train-other-500	Frank
+572	M	train-other-500	Rebecca Dittman
+576	F	train-clean-360	Caroline Mercier
+580	M	train-clean-360	Ryan
+581	M	train-clean-360	C. Berrius
+583	M	train-clean-360	Russ Maxwell
+584	F	train-other-500	miette
+585	F	train-other-500	pheo
+587	F	train-clean-100	Joy Scaglione
+589	F	train-clean-360	Stephanie Konig
+593	M	train-clean-360	Eric S. Piotrowski
+594	M	train-clean-360	KentF
+596	F	train-clean-360	Carol Goode
+597	F	train-clean-360	Lisa Chau
+598	F	train-clean-360	Kim
+606	M	train-clean-360	Julian Jamison
+608	F	train-other-500	Baranduin
+612	F	train-clean-360	Cindy Steib
+613	M	train-other-500	D.E. Wittkower
+614	F	train-other-500	Christine Blachford
+622	M	train-other-500	Andrew Lebrun
+625	M	train-clean-100	toriasuncle
+636	F	train-clean-360	Zale Schafer (Rose May Chamberlin Memorial Foundat
+637	M	train-clean-360	Michael Scherer
+639	M	train-clean-360	Robert Beach
+644	M	train-other-500	Daniele
+652	M	dev-clean	Scott Walter
+663	M	train-clean-360	Bruce Stafford
+664	F	train-clean-360	Wendy G.
+666	F	train-clean-360	Monique
+667	F	train-clean-360	Bethany Simpson
+669	F	train-clean-100	Anne
+671	M	train-clean-360	koijmonop
+672	M	test-clean	Taylor Burton-Edward
+679	M	train-other-500	rhodian
+681	F	train-other-500	Lucy Burgoyne
+684	F	train-other-500	Lizzie Driver
+688	F	train-clean-360	J. M. Smallheer
+690	F	train-other-500	Silver
+696	F	train-clean-100	Tamara R. Schwartz
+698	F	train-clean-360	Randi Warwick
+699	F	train-clean-360	Diana Kiesners
+700	F	dev-other	Susan Hooks
+705	F	train-other-500	eva
+707	M	train-clean-360	Jason Mayoff
+708	M	train-clean-360	Kevin Devine
+711	M	train-clean-360	Roy Schreiber
+712	M	train-other-500	Michael Shook
+713	F	train-other-500	Onjana Yawnghwe
+716	M	train-clean-360	martyd
+718	M	train-clean-360	clarknova
+720	M	train-other-500	Peter Gallagher
+724	M	train-clean-360	Michael Crowl
+726	M	train-other-500	Paul
+727	M	train-other-500	Andrew Richards
+728	M	train-other-500	Eric Connover
+730	F	train-clean-100	Karen Labenz
+731	F	train-clean-360	Megan-Jane Daniels Suyasu
+737	M	train-other-500	Roger W. Barnett
+742	M	train-other-500	Peter Groom
+753	M	train-other-500	Tim Bulkeley
+764	M	train-clean-360	Carl Vonnoh, III
+766	M	train-other-500	Jean Crevier
+770	M	train-clean-360	Justin S Barrett
+774	F	train-other-500	Sara Walsh
+777	M	dev-clean	fling93
+778	M	train-other-500	Branko Collin
+779	M	train-other-500	Greg
+780	M	train-other-500	Lloyd Davis
+781	M	train-clean-360	Mitchell Dwyer
+782	F	train-other-500	Michele Pacey
+783	F	train-clean-360	Gina
+789	F	train-other-500	Eva
+791	M	train-other-500	Ivan
+792	F	train-other-500	mjd-s
+797	M	train-other-500	Mike Shapiro
+803	M	train-clean-360	Greg Elmensdorp
+806	M	train-clean-360	Aaron Andradne
+807	M	train-other-500	Luke Venediger
+810	M	train-other-500	Joseph Loverti
+811	F	train-other-500	Elizabeth
+815	M	train-clean-360	mawrtea
+816	M	train-clean-360	Jeff Robinson
+820	M	train-clean-360	Scoot
+826	M	train-other-500	Thomas Wells
+829	F	train-clean-360	frenchfry
+830	F	train-clean-360	sebrazer
+831	M	train-clean-100	Nick Gallant
+834	F	train-clean-360	nausicaa
+835	M	train-clean-360	echo
+836	M	train-clean-360	Kevin LaVergne
+839	M	train-clean-100	rovert405
+844	F	train-other-500	Martina
+845	M	train-other-500	DaveF
+846	M	train-other-500	Anadaxis_Canejia
+850	M	train-clean-360	tonypettit
+851	M	train-other-500	brenthumphries
+868	M	train-clean-360	Mike Rosenlof
+876	F	train-other-500	Alisha
+882	F	train-clean-360	Mur Lafferty
+884	M	train-other-500	sayeth
+886	M	train-other-500	Paul S. Jenkins
+887	F	train-clean-100	Lana Taylor
+895	M	train-other-500	Max Porter Zasada
+899	M	train-clean-360	thomahal
+908	M	test-clean	Sam Stinson
+909	M	train-clean-100	Greg Bryant
+911	M	train-clean-100	frankjf
+915	M	train-other-500	Ted Kaouk
+920	F	train-clean-360	Sarah Bean
+921	M	train-other-500	Brian J. Callaghan
+922	M	train-clean-360	Steven H. Wilson
+923	F	train-other-500	Layna
+925	F	train-clean-360	pattymarie
+927	M	train-other-500	Nerijus
+937	F	train-other-500	Susie G.
+948	F	train-clean-360	Chere Theriot
+949	M	train-clean-360	ontheroad
+951	F	train-other-500	thomasina
+953	M	train-clean-360	Jim Mullins
+954	M	train-clean-360	Brooks Seveer
+956	F	train-other-500	krithiga
+957	M	train-clean-360	iscatel
+960	F	train-other-500	Marloes Schoonheim
+964	M	train-other-500	Paul Sze
+968	F	train-clean-360	Pat Elder
+969	M	train-other-500	Czechchris
+976	F	train-other-500	Alison Raouf
+978	M	train-other-500	Rick Box
+979	F	train-clean-360	Kelli Robinson
+982	M	train-other-500	Mike Roop
+984	M	train-clean-360	J A Carter
+985	M	train-other-500	George Pilling
+986	M	train-clean-360	Michael Kirkpatrick
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+7982	F	train-clean-360	Lori Arsenault
+7988	M	train-other-500	JaySands
+7991	M	train-clean-360	Aaron Weber
+7994	F	train-clean-360	Marian Cervassi
+7995	F	train-clean-360	Marie Hoffman
+7997	M	train-other-500	Tom Merritt
+8005	F	train-other-500	Julia Wells
+8006	M	train-clean-360	TyroneS
+8008	M	train-clean-360	Paul Adamson
+8009	F	train-other-500	Frances Brown
+8011	M	train-clean-360	Greg Giordano
+8012	F	train-other-500	WoollyBee
+8014	F	train-clean-100	constatine
+8015	F	train-other-500	Underhill
+8023	M	train-other-500	JamesMcAndrew
+8028	M	train-clean-360	Tom Geller
+8033	M	train-other-500	geoffbl
+8040	F	train-other-500	NatalieOram
+8042	M	train-other-500	Jack Watson Warr
+8044	F	train-other-500	Sarah Hannah
+8050	M	train-clean-360	Jake Woldstad
+8051	F	train-clean-100	Maria Kasper
+8057	F	train-clean-360	Linda Dougherty
+8058	M	train-other-500	RLC
+8063	M	train-clean-100	Robert Snoza
+8066	M	train-clean-360	Tim Cote
+8071	F	train-other-500	Vanessa Garcia
+8072	F	train-other-500	Kimberly Krause
+8075	F	train-clean-360	Melora
+8080	F	train-clean-360	e.a.zokaites
+8087	M	train-other-500	Arnie Horton
+8088	M	train-clean-100	Jason Bolestridge
+8095	M	train-clean-100	Theodulf
+8097	F	train-clean-360	lewildesen
+8098	M	train-clean-100	Arnold
+8108	M	train-clean-100	drakaunus
+8112	F	train-other-500	Christine Lamberton
+8113	F	train-clean-360	PennyAnn
+8118	F	train-clean-360	Katie McClain
+8119	M	train-clean-360	Malcolm Cameron
+8123	F	train-clean-100	Sheila Wood
+8131	M	test-other	Christian Alexander
+8138	M	train-clean-360	Lee Smalley
+8142	M	train-clean-360	Timothy Lucas
+8143	M	train-other-500	Nick Whitley
+8148	F	train-other-500	Xiph
+8152	M	train-clean-360	Bigcowfeet
+8156	F	train-other-500	Brooke Cunningham
+8163	F	train-clean-360	Greengecko
+8164	M	train-other-500	Rob Board
+8168	F	train-other-500	Kiera Davidson
+8169	M	train-other-500	tovarisch
+8172	M	train-other-500	Alan Weyman
+8173	F	dev-other	emmablob
+8176	M	train-clean-360	Jon Kerfoot
+8180	F	train-other-500	Elanor Sakamoto
+8183	F	train-clean-360	Cheri Jordan
+8188	M	test-other	Matthew Calvin
+8190	F	train-clean-360	Lisa Phelps Gonzalez
+8193	F	train-clean-360	helengraves
+8194	F	train-clean-360	MsMO
+8195	M	train-clean-360	Mr Krause
+8197	F	train-other-500	Victoria P
+8199	F	train-other-500	maryagneskatherine
+8200	M	train-other-500	Dan S
+8208	M	train-other-500	zaanta
+8215	M	train-other-500	readread
+8222	M	train-clean-360	Greg Golding
+8224	M	test-clean	Leanne Kinkopf
+8225	M	train-clean-360	Matt Lusher
+8226	M	train-clean-100	Adam Picot
+8228	F	train-clean-360	hgal2010
+8230	M	test-clean	David Jenkins
+8238	F	train-clean-100	Madam Fickle
+8240	F	train-other-500	Gertrude Durette
+8242	F	train-other-500	Anita Slusser
+8245	M	train-other-500	gscheids
+8246	M	train-other-500	beeveeo
+8250	M	train-other-500	Stephen Gibbons
+8254	F	dev-other	Jeana Wei
+8259	F	train-other-500	Lawrence
+8262	M	train-other-500	Jack Powell
+8266	M	train-clean-360	Jeff K.
+8272	F	train-other-500	Haili
+8273	M	train-other-500	Lucas Boulding
+8280	F	test-other	AlaynaMay
+8288	M	dev-other	Wayne Donovan
+8291	M	train-other-500	Elliot Gage
+8295	F	train-other-500	Susan Morin
+8296	F	train-other-500	Bria Snow
+8297	M	dev-clean	David Mecionis
+8300	F	train-clean-360	Judith Parker
+8302	F	train-other-500	Charlotte Day
+8307	M	train-other-500	Nick Bulka
+8312	F	train-clean-100	Jaimie Noy
+8316	M	train-other-500	Rocket Rodger
+8321	F	train-other-500	SamR
+8322	M	train-other-500	yeknod
+8324	F	train-clean-100	Kathy Wright
+8328	M	train-other-500	William Gavula
+8329	F	train-clean-360	Betty Perry
+8334	M	train-other-500	Doug Reed
+8337	F	train-other-500	Claudia Salto
+8346	M	train-other-500	Al Rocca
+8347	M	train-clean-360	Terry Torres
+8356	M	train-other-500	Paul Mazumdar
+8367	M	train-other-500	ophiuroidea
+8382	F	train-other-500	Claire Schreuder
+8388	F	train-clean-360	Jacki Horn
+8389	M	train-other-500	Steven Bateman
+8392	F	train-other-500	Katharina Huang
+8394	M	train-other-500	Matthew Walker
+8396	M	train-clean-360	gloriousjob
+8401	M	train-clean-360	Alexander Hatton
+8404	F	train-clean-360	Lynne Ray
+8410	F	train-clean-360	Shauna Kennett
+8413	M	train-other-500	PaulMichael1084
+8414	F	train-other-500	jtueller
+8415	F	train-other-500	Rusty Dancer
+8419	M	train-clean-100	Jon Kissack
+8421	F	train-clean-360	Jackie Drown
+8422	M	train-other-500	pjhoury
+8424	F	train-other-500	Schums
+8425	M	train-clean-100	Larry Wilson
+8430	F	train-other-500	shihping
+8432	F	train-other-500	Emma Joyce
+8441	F	train-other-500	ryoko
+8443	F	train-other-500	Marsha Payne
+8444	M	train-other-500	Anthony Webster
+8445	M	train-other-500	Brett G. Hirsch
+8447	F	train-other-500	Anastasiia Solokha
+8455	M	test-clean	thecheops
+8459	M	train-clean-360	sdaeley17
+8461	F	test-other	Allie Cingi
+8463	F	test-clean	Michele Fry
+8464	M	train-clean-360	HappyMiamiDad
+8465	F	train-clean-100	TinaNygard2
+8466	M	train-other-500	Chris Cartwright
+8468	F	train-clean-100	Jennifer Dorr
+8470	F	train-other-500	Rebecca Braunert-Plunkett
+8474	M	train-clean-360	Scott Snowman
+8476	F	train-other-500	Julie Mansius
+8479	M	train-clean-360	R.W. Rushing
+8490	M	train-clean-360	Matt Parker
+8494	M	train-clean-360	Bill Yallalee
+8498	M	train-clean-360	Ian Quinlan
+8499	M	train-other-500	ReadAllDay
+8500	M	train-other-500	Ravi Shankar
+8506	F	train-clean-360	Denise Nordell
+8527	M	train-clean-360	Gary Bohannon
+8531	M	train-other-500	imenadel
+8534	M	train-clean-360	Chris Clark
+8536	M	train-other-500	Jonathan Brubaker
+8543	F	train-other-500	luckyemma
+8544	F	train-other-500	Pooja DSr
+8545	F	train-clean-360	Joanne Rochon
+8555	F	test-clean	Michelle Goode
+8565	M	train-other-500	Patrick Eaton
+8573	F	train-clean-360	Paige G
+8575	M	train-clean-360	Jeremy Robertson
+8576	M	train-other-500	Phil Schempf
+8580	M	train-clean-100	Gary Dana
+8587	M	train-other-500	Drew Johnson
+8590	M	train-other-500	bobrose
+8591	F	train-clean-360	Jude Somers
+8592	M	train-clean-360	Dylan Posa
+8605	F	train-clean-360	Kate Sterner
+8609	M	train-clean-100	noblesavage
+8619	M	train-clean-360	Tad E.
+8625	F	train-other-500	Ellen Preckel
+8629	M	train-clean-100	Shivansh Dhar
+8630	M	train-clean-100	Eduardo
+8631	M	train-other-500	Edward Kirkby
+8632	M	train-other-500	Geremia
+8635	M	train-clean-360	ACBowgus
+8643	M	train-clean-360	jabc1950
+8644	F	train-other-500	Eenae
+8664	F	train-other-500	Pam Castille
+8666	M	train-other-500	josembi
+8671	M	train-other-500	Simon Smoke
+8675	M	train-other-500	Larry Greene
+8677	F	train-clean-360	KHand
+8678	F	train-other-500	Amy
+8684	F	train-clean-360	Alison Stewart
+8687	M	train-clean-360	EccentricOwl
+8699	F	train-clean-360	Jessica Atha
+8705	M	train-clean-360	dsilber01
+8710	M	train-other-500	Ralph Crown
+8713	M	train-clean-360	Expatriate
+8718	F	train-clean-360	Deena Rhoads
+8722	F	train-clean-360	Emily Maynard
+8725	M	train-clean-360	Gary Ericson
+8742	M	train-clean-360	Adam Taylor
+8747	M	train-clean-100	DeanOBuchanan
+8753	M	train-other-500	Walt Allan
+8758	M	train-clean-360	Krzysztof Rowinski
+8765	M	train-other-500	jciesielski
+8770	M	train-clean-100	Paul Simonin
+8771	F	train-clean-360	Anna Millard
+8772	M	train-clean-360	Martin Reyto
+8776	F	train-clean-360	Taliesin
+8778	F	train-other-500	Francoise
+8786	M	train-clean-360	Bruce Kachuk
+8791	M	train-clean-360	ScottReyonoldsVoice
+8797	M	train-clean-100	Sean Grabosky
+8799	M	train-other-500	Peter Tucker
+8803	M	train-other-500	Ben Lindsey-Clark
+8808	M	train-other-500	davidpr
+8820	M	train-clean-360	Ignare
+8824	M	train-clean-360	Mark Johnston
+8825	F	train-clean-360	Erin Schellhase
+8838	M	train-clean-100	Kevin Owens
+8842	F	dev-clean	Mary J
+8846	F	train-other-500	MariaS
+8848	M	train-clean-360	Craig Kenneth Bryant
+8855	M	train-clean-360	Eric Metzler
+8867	F	train-other-500	sorbet87
+8875	M	train-clean-360	David D'Huet
+8879	M	train-clean-360	Son of the Exiles
+8887	M	train-clean-360	Andrew Hernandez
+8897	F	train-other-500	beyondutopia
+8975	F	train-clean-100	Daisy Flaim
+9000	M	train-other-500	Ramon Escamilla
+9022	F	train-clean-360	Claire M
+9023	F	train-clean-360	P. J. Morgan
+9026	F	train-clean-360	Tammy Porter

data_prep/finalize_mfa.py

@@ -0,0 +1,115 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import argparse
+import sys
+from pathlib import Path
+from shutil import copy2
+
+import numpy as np
+import soundfile as sf
+from common import getLogger, load_libritts_spk_metadata
+from tqdm.auto import tqdm
+
+format = "%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s"
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(
+        description="Finalize MFA and LibriTTS-R data",
+    )
+    parser.add_argument(
+        "in_dir", type=str, help="LibriTTS per-speaker restructured data root"
+    )
+    parser.add_argument("mfa_dir", type=str, help="MFA output directory")
+    parser.add_argument("out_dir", type=str, help="Output directory")
+    parser.add_argument("--debug", action="store_true", help="Debug")
+
+    return parser
+
+
+def read_and_save(in_file, out_file):
+    # let's make sure to have int16 dtype for saved files
+    x, sr = sf.read(in_file)
+    assert sr == 24000
+    if x.dtype == np.float32 or x.dtype == np.float64:
+        assert np.abs(x).max() <= 1.0
+        x = (x * 32767).astype(np.int16)
+    assert x.dtype == np.int16
+    sf.write(out_file, x, sr)
+
+
+if __name__ == "__main__":
+    args = get_parser().parse_args(sys.argv[1:])
+
+    spk2meta = load_libritts_spk_metadata(debug=args.debug)
+    in_dir = Path(args.in_dir)
+    mfa_dir = Path(args.mfa_dir)
+    out_dir = Path(args.out_dir)
+    out_dir.mkdir(exist_ok=True, parents=True)
+
+    logger = getLogger(
+        verbose=100, filename="log/finalize_mfa.log", name="finalize_mfa"
+    )
+
+    total_duration = 0
+    missing_utt_ids = []
+    for spk, _ in tqdm(spk2meta.items()):
+        spk_in_dir = in_dir / spk
+        spk_mfa_dir = mfa_dir / spk
+
+        if not spk_in_dir.exists():
+            logger.warning(f"No input dir for {spk}")
+            continue
+
+        out_tgr_dir = out_dir / spk / "textgrid"
+        out_wav_dir = out_dir / spk / "wav24k"
+        out_txt_dir = out_dir / spk
+        for d in [out_tgr_dir, out_wav_dir, out_txt_dir]:
+            d.mkdir(exist_ok=True, parents=True)
+
+        org_wav_files = sorted(list(spk_in_dir.glob("*.wav")))
+        org_utt_ids = [f.stem for f in org_wav_files]
+
+        textgrid_files = sorted(list(spk_mfa_dir.glob("*.TextGrid")))
+        # valid utt_ids
+        utt_ids = [f.stem for f in textgrid_files]
+        wav_files = [spk_in_dir / f"{utt_id}.wav" for utt_id in utt_ids]
+
+        if len(org_utt_ids) != len(utt_ids):
+            spk_missing_utt_ids = list(set(org_utt_ids) - set(utt_ids))
+            logger.warning(f"Missing {len(spk_missing_utt_ids)} utt_ids for {spk}")
+            missing_utt_ids.extend(spk_missing_utt_ids)
+
+        phones = {}
+        for utt_id in utt_ids:
+            # wav
+            in_wav_file = spk_in_dir / f"{utt_id}.wav"
+            assert in_wav_file.exists()
+            out_wav_file = out_wav_dir / f"{utt_id}.wav"
+            read_and_save(in_wav_file, out_wav_file)
+
+            # textgrid
+            in_textgrid_file = spk_mfa_dir / f"{utt_id}.TextGrid"
+            assert in_textgrid_file.exists()
+            out_textgrid_file = out_tgr_dir / f"{utt_id}.TextGrid"
+            copy2(in_textgrid_file, out_textgrid_file)
+
+    logger.info(f"Total duration: {total_duration/3600:.2f} hours")
+    logger.info(f"Numbere of missing utterance IDs: {len(missing_utt_ids)}")
+
+    # Write missing_utt_ids.txt
+    with open(out_dir / "missing_utt_ids.txt", "w") as f:
+        for utt_id in missing_utt_ids:
+            f.write(f"{utt_id}\n")

data_prep/prepare_mfa.py

@@ -0,0 +1,77 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import argparse
+import shutil
+import sys
+from pathlib import Path
+
+from common import load_libritts_spk_metadata
+from joblib import Parallel, delayed
+from promptttspp.utils.joblib import tqdm_joblib
+from tqdm.auto import tqdm
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(
+        description="Restructure the LibriTTS-R dataset for convenience",
+    )
+    parser.add_argument("in_dir", type=str, help="LibriTTS original data root")
+    parser.add_argument("out_dir", type=str, help="Output directory")
+    parser.add_argument("--n_jobs", type=int, default=8, help="Number of jobs")
+    parser.add_argument("--debug", action="store_true", help="Debug")
+
+    return parser
+
+
+def process_spk(spk, meta, in_dir, out_dir):
+    subset = meta["subset"]
+    wav_files = sorted((in_dir / subset).glob(f"*/*/{spk}_*.wav"))
+
+    if len(wav_files) == 0:
+        print(f"No wav files found for {spk}", meta)
+        return
+
+    spk_out_dir = out_dir / spk
+    spk_out_dir.mkdir(exist_ok=True, parents=True)
+    # copy to spk_out_dir/filename
+    for wav_file in tqdm(wav_files, leave=False):
+        utt_id = wav_file.name.replace(".wav", "")
+        text_file = wav_file.parent / f"{utt_id}.normalized.txt"
+
+        # Sadly, some text transcriptions are missing
+        # train-clean-360/1382/130492/1382_130492_000049_000000.normalized.txt
+        if not text_file.exists():
+            print(f"Text file not found for {wav_file}")
+            continue
+
+        out_wav_file = spk_out_dir / wav_file.name
+        out_lab_file = spk_out_dir / f"{utt_id}.lab"
+        shutil.copy2(wav_file, out_wav_file)
+        shutil.copy2(text_file, out_lab_file)
+
+
+if __name__ == "__main__":
+    args = get_parser().parse_args(sys.argv[1:])
+
+    in_dir = Path(args.in_dir)
+    out_dir = Path(args.out_dir)
+    out_dir.mkdir(exist_ok=True, parents=True)
+
+    spk2meta = load_libritts_spk_metadata(debug=args.debug)
+    with tqdm_joblib(len(spk2meta)):
+        Parallel(n_jobs=args.n_jobs)(
+            delayed(process_spk)(spk, meta, in_dir, out_dir)
+            for spk, meta in spk2meta.items()
+        )

data_prep/run_mfa.py

@@ -0,0 +1,66 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import argparse
+import sys
+from pathlib import Path
+from subprocess import PIPE, Popen
+
+from common import getLogger, load_libritts_spk_metadata
+from tqdm.auto import tqdm
+
+
+def get_parser():
+    parser = argparse.ArgumentParser(
+        description="Run MFA on LibriTTS-R",
+    )
+    parser.add_argument(
+        "in_dir", type=str, help="LibriTTS per-speaker restructured data root"
+    )
+    parser.add_argument("mfa_out_dir", type=str, help="Output directory")
+    parser.add_argument("--n_jobs", type=int, default=1, help="Number of jobs")
+    parser.add_argument("--debug", action="store_true", help="Debug")
+
+    return parser
+
+
+if __name__ == "__main__":
+    args = get_parser().parse_args(sys.argv[1:])
+
+    n_jobs = int(args.n_jobs)
+
+    spk2meta = load_libritts_spk_metadata(debug=args.debug)
+
+    in_dir = Path(args.in_dir)
+    mfa_out_dir = Path(args.mfa_out_dir)
+    mfa_out_dir.mkdir(exist_ok=True, parents=True)
+
+    logger = getLogger(verbose=100, filename="log/run_mfa.log", name="run_mfa")
+
+    for spk, _ in tqdm(spk2meta.items()):
+        spk_in_dir = in_dir / spk
+        spk_mfa_dir = mfa_out_dir / spk
+
+        if not spk_in_dir.exists():
+            logger.warning(f"No input dir for {spk}; skipping")
+            continue
+
+        cmd = f"mfa align {spk_in_dir} english_us_arpa english_us_arpa {spk_mfa_dir}"
+        cmd = cmd + f" --num_jobs {n_jobs} --clean --quiet --use_mp"
+        logger.info(cmd)
+        p = Popen(cmd, shell=True, stdout=PIPE)
+        r = p.wait()
+        if r != 0:
+            logger.error(f"Error in MFA for {spk}")
+            continue

data_prep/runall_mfa.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+
+# Set to true to run MFA for a small subset of speakers for debugging purpose.
+debug=false
+
+libritts_r_dir=./LibriTTS_R
+output_dir=./out/
+mkdir -p ${output_dir}
+
+if [ ${debug} == "true" ]; then
+    extra_arg="--debug"
+    out_wav_dir=${output_dir}/debug_libritts_r_per_spk
+    out_textgrid_dir=${output_dir}/debug_libritts_r_per_spk_mfa
+    out_merged_dir=${output_dir}/debug_libritts_r_per_spk_cleaned
+else
+    extra_arg=""
+    out_wav_dir=${output_dir}/libritts_r_per_spk
+    out_textgrid_dir=${output_dir}/libritts_r_per_spk_mfa
+    out_merged_dir=${output_dir}/libritts_r_per_spk_cleaned
+fi
+
+python prepare_mfa.py ${libritts_r_dir} ${out_wav_dir} --n_jobs 64 ${extra_arg}
+
+# NOTE: this will take a few days
+if [ ! -d ${out_textgrid_dir} ]; then
+    python run_mfa.py ${out_wav_dir} ${out_textgrid_dir} ${extra_arg}
+fi
+
+python finalize_mfa.py ${out_wav_dir} ${out_textgrid_dir} ${out_merged_dir}

data_prep/runall_style_prompt_tags.sh

@@ -0,0 +1,26 @@
+#!/bin/bash
+
+libritts_r_dir=./LibriTTS_R
+metadata_dir=../metadata
+output_dir=./out
+
+n_jobs=64
+merged_dir=${output_dir}/libritts_r_per_spk_cleaned
+f0_stats=${metadata_dir}/libritts_r_f0_stats.yaml
+style_prompt_candidates=${metadata_dir}/style_prompt_candidates_v230922.csv
+
+if [ ! -d ${merged_dir} ]; then
+    echo "You must need to create dataset with MFA alignments"
+    exit 1
+fi
+
+utt_metadata=${output_dir}/libritts_r_per_utt_metadata.yaml
+out_csv_file=${output_dir}/metadata_w_style_prompt_key.csv
+
+if [ ! -e ${utt_metadata} ]; then
+    python compute_utt_stats.py ${merged_dir} ${f0_stats} --out_filename ${utt_metadata} \
+        --num_jobs ${n_jobs}
+fi
+
+python add_style_prompt_tags.py ${libritts_r_dir} ${utt_metadata} ${style_prompt_candidates} \
+    --out_filename ${out_csv_file}

egs/proposed/bin/compute_mel.py

@@ -0,0 +1,74 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+from pathlib import Path
+
+import hydra
+import numpy as np
+import pandas as pd
+import torch
+import torchaudio
+from hydra.utils import instantiate
+from joblib import Parallel, delayed
+from omegaconf import DictConfig, OmegaConf
+from promptttspp.utils.joblib import tqdm_joblib
+
+
+@hydra.main(version_base=None, config_path="conf/", config_name="preprocess")
+def main(cfg: DictConfig):
+    data_root = Path(cfg.path.data_root)
+    mel_dir = Path(cfg.path.mel_dir)
+
+    if (mel_dir / "finish").exists():
+        print("Already finished")
+        return
+
+    df = pd.read_csv(cfg.path.data_file)
+    # NOTE: use cpu for multi-processing
+    device = torch.device("cpu")
+    to_mel = instantiate(cfg.transforms).to(device)
+
+    def process(row):
+        spk_id, utt_id = row["spk_id"], row["item_name"]
+        wav_path = data_root / f"{spk_id}/wav24k/{utt_id}.wav"
+        wav, _ = torchaudio.load(wav_path)
+        wav = wav.to(device)
+        mel = to_mel(wav).squeeze().cpu()
+
+        spk_dir = mel_dir / f"{spk_id}"
+        spk_dir.mkdir(parents=True, exist_ok=True)
+        np.save(spk_dir / f"{utt_id}.npy", mel.numpy())
+        return mel
+
+    with tqdm_joblib(len(df)):
+        mels = Parallel(n_jobs=cfg.n_jobs)(
+            delayed(process)(df.iloc[idx]) for idx in range(len(df))
+        )
+
+    mels = torch.cat(mels, dim=1)
+    stats = {
+        "min": float(mels.min()),
+        "max": float(mels.max()),
+        "mean": float(mels.mean()),
+        "std": float(mels.std()),
+        "var": float(mels.var()),
+    }
+    conf = OmegaConf.create(stats)
+    OmegaConf.save(conf, mel_dir / "stats.yaml")
+    with open(mel_dir / "finish", "w") as f:
+        f.write("finish")
+
+
+if __name__ == "__main__":
+    main()

egs/proposed/bin/conf/dataset/mel.yaml

@@ -0,0 +1,26 @@
+collator:
+  _target_: promptttspp.datasets.prompttts.PromptTTSCollator
+
+train:
+  _target_: promptttspp.datasets.all_with_spk_prompt_norm.AllWithSpkPromptNormDataset
+  file_path: ${...path.train_file}
+  data_root: ${...path.data_root}
+  feats_dir: ${...path.feats_dir}
+  mel_dir: ${...path.mel_dir}
+  prompt_candidate_file: ${...path.prompt_candidate_file}
+  spk_prompt_candidate_file: ${...path.spk_prompt_candidate_file}
+
+valid:
+  _target_: promptttspp.datasets.all_with_spk_prompt_norm.AllWithSpkPromptNormDataset
+  file_path: ${...path.valid_file}
+  data_root: ${...path.data_root}
+  feats_dir: ${...path.feats_dir}
+  mel_dir: ${...path.mel_dir}
+  prompt_candidate_file: ${...path.prompt_candidate_file}
+  spk_prompt_candidate_file: ${...path.spk_prompt_candidate_file}
+
+dynamic_batch: true
+
+# NOTE: 10000 should also work OK
+# number of batches will be 6908 if max_token=30000.
+max_tokens: 10000

egs/proposed/bin/conf/demo.yaml

@@ -0,0 +1,17 @@
+defaults:
+  - _self_
+  - model: prompttts_mdn_v2_wo_erg_final_demo
+  - vocoder: bigvgan_f0
+  - transforms: mel
+  - override hydra/hydra_logging: disabled  
+  - override hydra/job_logging: disabled  
+
+hydra:
+  run:
+    dir: ./
+  output_subdir: null
+
+# 
+model_ckpt_path: ./pretrained_model/checkpoint/proposed/last.ckpt
+vocoder_ckpt_path: ./pretrained_model/checkpoint/bigvgan_f0_full/last.ckpt
+mel_stats_file: ./pretrained_model/checkpoint/stats.yaml

egs/proposed/bin/conf/model/prompttts_mdn_v2_wo_erg_final.yaml

@@ -0,0 +1,105 @@
+_target_: promptttspp.models.prompttts_mdn_v2_final.model.PromptTTSMDNDurCFG
+
+norm_style_emb: true
+mdn_disable_amp: true
+
+phoneme_embedding:
+  _target_: promptttspp.layers.embedding.PhonemeEmbedding
+  num_vocab: 90
+  channels: 256
+  do_scale: false
+  init_normal: false
+
+encoder:
+  _target_: promptttspp.modules.esp.ConformerEncoder
+  idim: 256
+  attention_dim: 256
+  attention_heads: 2
+  linear_units: 1024
+  num_blocks: 4
+  positionwise_layer_type: conv1d
+  positionwise_conv_kernel_size: 9
+  dropout_rate: 0.2
+  pos_enc_layer_type: rel_pos
+  selfattention_layer_type: rel_selfattn
+  activation_type: swish
+  macaron_style: true
+  use_cnn_module: true
+  cnn_module_kernel: 7
+  return_mask: false
+  rel_pos_type: new
+
+variance_adaptor:
+  _target_: promptttspp.modules.variance_adaptor.VarianceAdaptor
+  duration_predictor:
+    _target_: promptttspp.modules.variance_adaptor.MDNPredictor
+    channels: ${...phoneme_embedding.channels}
+    out_channels: 1
+    kernel_size: 3
+    dropout: 0.5
+    num_layers: 2
+    num_gaussians: 4
+    detach: true
+    disable_amp: ${...mdn_disable_amp}
+  pitch_predictor:
+    _target_: promptttspp.modules.variance_adaptor.Predictor
+    channels: ${...phoneme_embedding.channels}
+    out_channels: 2
+    kernel_size: 5
+    dropout: ${..duration_predictor.dropout}
+    num_layers: 5
+    detach: false
+  pitch_emb:
+    _target_: torch.nn.Conv1d
+    in_channels: 1
+    out_channels: ${...phoneme_embedding.channels}
+    kernel_size: 1
+  energy_predictor: null
+  energy_emb: null
+  frame_prior_network:
+    _target_: promptttspp.modules.frame_prior.FramePriorNetwork
+    out_channels: ${...phoneme_embedding.channels}
+    hidden_channels: ${...phoneme_embedding.channels}
+    n_layers: 6
+    kernel_size: 17
+    p_dropout: 0.1
+
+reference_encoder:
+  _target_: promptttspp.modules.style_encoder.StyleEncoder
+  idim: 80
+  gst_tokens: 10
+  gst_heads: 4
+  conv_layers: 6
+  conv_chans_list: [128, 128, 256, 256, 512, 512]
+  conv_kernel_size: 3
+  conv_stride: 2
+  gru_layers: 1
+  gru_units: ${..phoneme_embedding.channels}
+
+prompt_encoder:
+  _target_: promptttspp.modules.prompt_encoder.PromptEncoder
+  model_name: bert-base-uncased
+  in_channels: 768
+  mid_channels: 512
+  out_channels: ${..phoneme_embedding.channels}
+
+style_mdn:
+  _target_: promptttspp.modules.mdn.MDNLayer
+  in_dim: ${..phoneme_embedding.channels}
+  out_dim: ${..phoneme_embedding.channels}
+  num_gaussians: 10
+  dim_wise: true
+
+decoder:
+  _target_: promptttspp.modules.diffusion.GaussianDiffusion
+  in_dim: ${..encoder.attention_dim}
+  out_dim: 80
+  norm_scale: 6.0
+  denoise_fn:
+    _target_: promptttspp.modules.denoiser.DiffNet
+    in_dim: 80
+    encoder_hidden_dim: ${...phoneme_embedding.channels}
+    residual_layers: 20
+    residual_channels: 256
+    kernel_size: 3
+    dilation_cycle_length: 4

egs/proposed/bin/conf/model/prompttts_mdn_v2_wo_erg_final_demo.yaml

@@ -0,0 +1,105 @@
+_target_: promptttspp.models.prompttts_mdn_v2_final.model.PromptTTSMDNDurCFG
+
+norm_style_emb: true
+mdn_disable_amp: true
+
+phoneme_embedding:
+  _target_: promptttspp.layers.embedding.PhonemeEmbedding
+  num_vocab: 90
+  channels: 256
+  do_scale: false
+  init_normal: false
+
+encoder:
+  _target_: promptttspp.modules.esp.ConformerEncoder
+  idim: 256
+  attention_dim: 256
+  attention_heads: 2
+  linear_units: 1024
+  num_blocks: 4
+  positionwise_layer_type: conv1d
+  positionwise_conv_kernel_size: 9
+  dropout_rate: 0.2
+  pos_enc_layer_type: rel_pos
+  selfattention_layer_type: rel_selfattn
+  activation_type: swish
+  macaron_style: true
+  use_cnn_module: true
+  cnn_module_kernel: 7
+  return_mask: false
+  rel_pos_type: legacy
+
+variance_adaptor:
+  _target_: promptttspp.modules.variance_adaptor.VarianceAdaptor
+  duration_predictor:
+    _target_: promptttspp.modules.variance_adaptor.MDNPredictor
+    channels: ${...phoneme_embedding.channels}
+    out_channels: 1
+    kernel_size: 3
+    dropout: 0.5
+    num_layers: 2
+    num_gaussians: 4
+    detach: true
+    disable_amp: ${...mdn_disable_amp}
+  pitch_predictor:
+    _target_: promptttspp.modules.variance_adaptor.Predictor
+    channels: ${...phoneme_embedding.channels}
+    out_channels: 2
+    kernel_size: 5
+    dropout: ${..duration_predictor.dropout}
+    num_layers: 5
+    detach: false
+  pitch_emb:
+    _target_: torch.nn.Conv1d
+    in_channels: 1
+    out_channels: ${...phoneme_embedding.channels}
+    kernel_size: 1
+  energy_predictor: null
+  energy_emb: null
+  frame_prior_network:
+    _target_: promptttspp.modules.frame_prior.FramePriorNetwork
+    out_channels: ${...phoneme_embedding.channels}
+    hidden_channels: ${...phoneme_embedding.channels}
+    n_layers: 6
+    kernel_size: 17
+    p_dropout: 0.1
+
+reference_encoder:
+  _target_: promptttspp.modules.style_encoder.StyleEncoder
+  idim: 80
+  gst_tokens: 10
+  gst_heads: 4
+  conv_layers: 6
+  conv_chans_list: [128, 128, 256, 256, 512, 512]
+  conv_kernel_size: 3
+  conv_stride: 2
+  gru_layers: 1
+  gru_units: ${..phoneme_embedding.channels}
+
+prompt_encoder:
+  _target_: promptttspp.modules.prompt_encoder.PromptEncoder
+  model_name: bert-base-uncased
+  in_channels: 768
+  mid_channels: 512
+  out_channels: ${..phoneme_embedding.channels}
+
+style_mdn:
+  _target_: promptttspp.modules.mdn.MDNLayer
+  in_dim: ${..phoneme_embedding.channels}
+  out_dim: ${..phoneme_embedding.channels}
+  num_gaussians: 10
+  dim_wise: true
+
+decoder:
+  _target_: promptttspp.modules.diffusion.GaussianDiffusion
+  in_dim: ${..encoder.attention_dim}
+  out_dim: 80
+  norm_scale: 6.0
+  denoise_fn:
+    _target_: promptttspp.modules.denoiser.DiffNet
+    in_dim: 80
+    encoder_hidden_dim: ${...phoneme_embedding.channels}
+    residual_layers: 20
+    residual_channels: 256
+    kernel_size: 3
+    dilation_cycle_length: 4

egs/proposed/bin/conf/optimizer/adamw.yaml

@@ -0,0 +1,4 @@
+_target_: torch.optim.AdamW
+lr: 0.001
+betas: [0.9, 0.98]
+weight_decay: 0.0

egs/proposed/bin/conf/path/default.yaml

@@ -0,0 +1,29 @@
+# The repository root
+# NOTE: users must set this path correctly
+root: path/to/your/promptttspp
+
+# The data directory containing wav and textgrid files
+data_root: ${.root}/data_prep/out/libritts_r_per_spk_cleaned
+
+# Metadata with style prompt tags
+data_csv_file: ${.root}/metadata/metadata_w_style_prompt_tags_v230922.csv
+
+# dump: pre-processed features will be stored
+data_dir: ${.root}/dump/libritts_r_per_spk_cleaned
+text_dir: ${.data_dir}/text
+
+feats_dir: ${.data_dir}/feats
+df_dir: ${.data_dir}/df
+filtered_df_dir: ${.data_dir}/df_filtered
+mel_dir: ${.data_dir}/mel63
+
+data_file: ${.df_dir}/data.csv
+train_file: ${.filtered_df_dir}/trn.csv
+valid_file: ${.filtered_df_dir}/val.csv
+eval_file: ${.df_dir}/eval.csv
+filtered_eval_file: ${.filtered_df_dir}/eval_filtered.csv
+
+speaker_file: ${.root}/data_prep/external/speakers.tsv
+f0_stats_file: ${.root}/metadata/libritts_r_f0_stats.yaml
+prompt_candidate_file: ${.root}/metadata/style_prompt_candidates_v230922.csv
+spk_prompt_candidate_file: ${.root}/metadata/speaker_prompt_candidates_v230922.csv

egs/proposed/bin/conf/preprocess.yaml

@@ -0,0 +1,20 @@
+defaults:
+  - _self_
+  - transforms: mel
+  - path: default
+
+hydra:
+  run:
+    dir: ./out/hydra/preprocess
+  output_subdir: null
+  job_logging:
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(levelname)s][%(module)s | %(lineno)s] %(message)s'
+    disable_existing_loggers: false
+
+eval_ids: [1188, 1995, 260, 1284, 2300, 237, 908, 1580, 121, 1089]
+n_jobs: 10
+
+wav_min_sec: 3
+wav_max_sec: 10

egs/proposed/bin/conf/synthesize.yaml

@@ -0,0 +1,28 @@
+defaults:
+  - _self_
+  - model: prompttts_mdn_v2_wo_erg
+  - transforms: mel
+  - train: noam
+  - path: default
+  - vocoder: bigvgan_f0
+
+hydra:
+  run:
+    dir: ./out/hydra/synthesize
+  output_subdir: null
+  job_logging:
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(levelname)s][%(module)s | %(lineno)s] %(message)s'
+    disable_existing_loggers: false
+
+label_file: ${.path.filtered_eval_file}
+output_dir: ./out/generate
+ckpt_path: ./out/ckpt/last.ckpt
+vocoder_ckpt_path: path/to/your/pretrained/bigvgan_f0_full/ckpt/last.ckpt
+batch_size: 16
+
+eval_out_dir: ./out/eval
+sclite: ${.path.sclite}
+
+use_spk_prompt: true

egs/proposed/bin/conf/train.yaml

@@ -0,0 +1,21 @@
+defaults:
+  - _self_
+  - model: prompttts_mdn_v2_cfg
+  - optimizer: adamw
+  - train: noam
+  - dataset: mel
+  - transforms: mel
+  - path: default
+
+hydra:
+  run:
+    dir: ./out/hydra/train
+  output_subdir: null
+  job_logging:
+    formatters:
+      simple:
+        format: '[%(asctime)s][%(levelname)s][%(module)s | %(lineno)s] %(message)s'
+    disable_existing_loggers: false
+
+output_dir: ./out
+ckpt_path: null

egs/proposed/bin/conf/train/noam.yaml

@@ -0,0 +1,15 @@
+seed: 42
+
+num_epochs: 1000
+save_interval: 20
+
+batch_size: 32
+num_workers: 8
+
+fp16: false
+
+lr_scheduler:
+  _target_: promptttspp.utils.lr_scheduler.NoamLR
+  warmup_steps: 4000
+
+per_epoch_scheduler: false

egs/proposed/bin/conf/transforms/mel.yaml

@@ -0,0 +1,12 @@
+_target_: promptttspp.transforms.MelSpectrogramTransform
+sample_rate: 24000
+n_fft: 512
+win_length: 480
+hop_length: 240
+power: 1
+f_min: 63
+f_max: 12000
+n_mels: 80
+mel_scale: slaney
+norm: slaney
+center: True

egs/proposed/bin/conf/vocoder/bigvgan.yaml

@@ -0,0 +1,7 @@
+_target_: promptttspp.vocoders.BigVGAN
+in_channel: 80
+upsample_initial_channel: 512
+upsample_rates: [6, 5, 4, 2]
+upsample_kernel_sizes: [12, 10, 8, 4]
+resblock_kernel_sizes: [3, 7, 11]
+resblock_dilations: [[1, 3, 5], [1, 3, 5], [1, 3, 5]]

egs/proposed/bin/conf/vocoder/bigvgan_f0.yaml

@@ -0,0 +1,9 @@
+_target_: promptttspp.vocoders.F0AwareBigVGAN
+sampling_rate: 24000
+harmonic_num: 8
+in_channel: 80
+upsample_initial_channel: 512
+upsample_rates: [6, 5, 4, 2]
+upsample_kernel_sizes: [12, 10, 8, 4]
+resblock_kernel_sizes: [3, 7, 11]
+resblock_dilations: [[1, 3, 5], [1, 3, 5], [1, 3, 5]]

egs/proposed/bin/filter_eval.py

@@ -0,0 +1,55 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+from pathlib import Path
+
+import hydra
+import pandas as pd
+import torchaudio
+from omegaconf import DictConfig
+from tqdm import tqdm
+
+
+@hydra.main(version_base=None, config_path="conf/", config_name="preprocess")
+def main(cfg: DictConfig):
+    data_root = Path(cfg.path.data_root)
+    output_file = Path(cfg.path.filtered_eval_file)
+
+    eval_df = pd.read_csv(cfg.path.eval_file)
+    use_ids = []
+    for i in tqdm(range(len(eval_df))):
+        row = eval_df.iloc[i]
+        spk_id = row["spk_id"]
+        utt_id = row["item_name"]
+
+        wav_file = data_root / f"{spk_id}/wav24k/{utt_id}.wav"
+        assert wav_file.exists()
+        wav, sr = torchaudio.load(wav_file)
+        assert sr == 24000
+        wav_sec = wav.shape[-1] / 24000
+        if wav_sec < cfg.wav_min_sec:
+            print(f"too short wav : {utt_id}")
+        elif wav_sec > cfg.wav_max_sec:
+            print(f"too long wav : {utt_id}")
+        else:
+            use_ids.append(utt_id)
+    filtered_eval_df = eval_df[eval_df["item_name"].isin(use_ids)]
+    print(f"Filtered : {len(eval_df)} => {len(filtered_eval_df)}")
+    print("num files per speaker id")
+    print(filtered_eval_df.groupby("spk_id").size())
+    filtered_eval_df.to_csv(output_file, index=False)
+
+
+if __name__ == "__main__":
+    main()

egs/proposed/bin/preprocess.py

@@ -0,0 +1,26 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import hydra
+from omegaconf import DictConfig
+from promptttspp.preprocess import preprocess
+
+
+@hydra.main(version_base=None, config_path="conf/", config_name="preprocess")
+def main(cfg: DictConfig):
+    preprocess(cfg, debug=False)
+
+
+if __name__ == "__main__":
+    main()

egs/proposed/bin/split_df.py

@@ -0,0 +1,62 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+from pathlib import Path
+
+import hydra
+import pandas as pd
+from omegaconf import DictConfig
+
+
+def split(df):
+    unique_spk_ids = df["spk_id"].unique()
+
+    split_idx = int(len(unique_spk_ids) * 0.98)
+    trn_spk_ids = unique_spk_ids[:split_idx]
+    val_spk_ids = unique_spk_ids[split_idx:]
+
+    trn_df = df[df["spk_id"].isin(trn_spk_ids)]
+    val_df = df[df["spk_id"].isin(val_spk_ids)]
+
+    trn_df = trn_df.sort_values(by=["item_name"])
+    val_df = val_df.sort_values(by=["item_name"])
+
+    return trn_df, val_df
+
+
+@hydra.main(version_base=None, config_path="conf/", config_name="preprocess")
+def main(cfg: DictConfig):
+    df_dir = Path(cfg.path.df_dir)
+    filtered_df_dir = Path(cfg.path.filtered_df_dir)
+    filtered_df_dir.mkdir(exist_ok=True)
+    df = pd.read_csv(df_dir / "train.csv")
+    data_df = pd.read_csv(cfg.path.data_csv_file)
+    data_df = data_df[data_df["invalid"] == 0]
+    print(df.shape, data_df.shape)
+    df = df[df["item_name"].isin(data_df["item_name"])]
+    print(df.shape)
+    merged_df = pd.merge(
+        df, data_df[["item_name", "style_prompt_key"]], on="item_name", how="left"
+    )
+    merged_df = merged_df.drop(columns="style_prompt_key_x")
+    df = merged_df.rename(columns={"style_prompt_key_y": "style_prompt_key"})
+
+    trn_df, val_df = split(df)
+    trn_df.to_csv(filtered_df_dir / "trn.csv", index=False)
+    val_df.to_csv(filtered_df_dir / "val.csv", index=False)
+    print(trn_df.shape, val_df.shape)
+
+
+if __name__ == "__main__":
+    main()

egs/proposed/bin/synthesize.py

@@ -0,0 +1,221 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+from pathlib import Path
+
+import hydra
+import pandas as pd
+import torch
+import torchaudio
+from hydra.utils import instantiate
+from omegaconf import OmegaConf
+from promptttspp.utils import seed_everything
+from promptttspp.utils.model import remove_weight_norm_
+from promptttspp.vocoders import F0AwareBigVGAN
+from scipy import signal
+from tqdm import tqdm
+
+
+def lowpass_filter(x, fs=100, cutoff=20, N=5):
+    """Lowpass filter
+
+    Args:
+        x (array): input signal
+        fs (int): sampling rate
+        cutoff (int): cutoff frequency
+
+    Returns:
+        array: filtered signal
+    """
+    nyquist = fs // 2
+    norm_cutoff = cutoff / nyquist
+    Wn = [norm_cutoff]
+
+    x_len = x.shape[-1]
+
+    b, a = signal.butter(N, Wn, "lowpass")
+    if x_len <= max(len(a), len(b)) * (N // 2 + 1):
+        # NOTE: input signal is too short
+        return x
+
+    # NOTE: use zero-phase filter
+    if isinstance(x, torch.Tensor):
+        from torchaudio.functional import filtfilt
+
+        a = torch.from_numpy(a).float().to(x.device)
+        b = torch.from_numpy(b).float().to(x.device)
+        y = filtfilt(x, a, b, clamp=False)
+    else:
+        y = signal.filtfilt(b, a, x)
+
+    return y
+
+
+def read_prompt_candidate(filepath):
+    df_style_prompt = pd.read_csv(
+        filepath, header=None, sep="|", names=["style_key", "prompt"]
+    )
+    style_prompt_dict = {}
+    for _, row in df_style_prompt.iterrows():
+        style_key, style_prompt = row.iloc[0], row.iloc[1]
+        assert isinstance(style_prompt, str)
+        style_prompt_dict[style_key] = list(
+            map(lambda s: s.lower().strip(), style_prompt.split(";"))
+        )
+    return style_prompt_dict
+
+
+def read_spk_prompt_candidate(filepath):
+    df = pd.read_csv(filepath, sep="|", header=None, names=["spk", "words"])
+    df["words"] = df["words"].map(lambda x: x.split(","))
+    # dict(key: spk_id, value: words)
+    spk_prompt_cand_dict = df.set_index("spk")["words"].to_dict()
+    return spk_prompt_cand_dict
+
+
+def add_spk_prompt(style_prompt, words):
+    spk_prompt = f"The speaker identity can be described as {words}."
+    prompt = f"{style_prompt}. {spk_prompt}"
+    return prompt
+
+
+@hydra.main(version_base=None, config_path="conf/", config_name="synthesize")
+def main(cfg):
+    data_root = Path(cfg.path.data_root)
+    output_dir = Path(cfg.output_dir)
+
+    seed_everything(cfg.train.seed)
+
+    prompt_candidate = read_prompt_candidate(cfg.path.prompt_candidate_file)
+    spk_prompt_candidate = read_spk_prompt_candidate(cfg.path.spk_prompt_candidate_file)
+    mel_stats = OmegaConf.load(f"{cfg.path.mel_dir}/stats.yaml")
+
+    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    model = instantiate(cfg.model)
+    model.load_state_dict(torch.load(cfg.ckpt_path, map_location="cpu")["model"])
+    model = model.to(device).eval()
+    model.apply(remove_weight_norm_)
+    to_mel = instantiate(cfg.transforms).to(device).eval()
+
+    vocoder = instantiate(cfg.vocoder)
+    vocoder.load_state_dict(
+        torch.load(cfg.vocoder_ckpt_path, map_location="cpu")["generator"]
+    )
+    vocoder = vocoder.to(device).eval()
+    vocoder.apply(remove_weight_norm_)
+
+    use_col = [
+        "spk_id",
+        "item_name",
+        "gender",
+        "pitch",
+        "speaking_speed",
+        "energy",
+        "style_prompt",
+        "style_prompt_key",
+        "seq",
+    ]
+    df = pd.read_csv(cfg.label_file, usecols=use_col)
+    data = df[use_col].values.tolist()
+
+    for row in tqdm(data, total=len(data)):
+        spk = row[0]
+        utt_id = row[1]
+        seq = row[-1]
+        style_prompt_key = row[-2]
+        style_prompt = prompt_candidate[style_prompt_key][0]
+        if spk in spk_prompt_candidate:
+            spk_prompt = spk_prompt_candidate[spk]
+            words = ", ".join(spk_prompt)
+            if cfg.use_spk_prompt:
+                prompt = add_spk_prompt(style_prompt, words)
+            else:
+                prompt = style_prompt
+        else:
+            prompt = style_prompt
+
+        spk_dir = output_dir / str(spk)
+
+        ref_dir = spk_dir / "ref"
+        ref_mel_dir = ref_dir / "mel"
+        ref_plot_dir = ref_dir / "plot"
+        ref_wav_dir = ref_dir / "wav"
+
+        prompt_dir = spk_dir / "prompt"
+        prompt_mel_dir = prompt_dir / "mel"
+        prompt_plot_dir = prompt_dir / "plot"
+        prompt_wav_dir = prompt_dir / "wav"
+
+        dirs = [
+            ref_mel_dir,
+            ref_plot_dir,
+            ref_wav_dir,
+            prompt_mel_dir,
+            prompt_plot_dir,
+            prompt_wav_dir,
+        ]
+        [d.mkdir(parents=True, exist_ok=True) for d in dirs]
+
+        label = torch.LongTensor([int(s) for s in seq.split()])[None, :]
+        label = label.to(device)
+        wav, _ = torchaudio.load(data_root / f"{spk}/wav24k/{utt_id}.wav")
+        wav = wav.to(device)
+        mel = to_mel(wav)
+        mel = (mel - mel_stats["mean"]) / mel_stats["std"]
+
+        is_f0_aware_vocoder = isinstance(vocoder, F0AwareBigVGAN)
+        with torch.no_grad():
+            if is_f0_aware_vocoder:
+                dec, log_cf0, vuv = model.infer(
+                    label, reference_mel=mel, return_f0=True
+                )
+                # NOTE: hard code for 10ms frame shift
+                modfs = int(1.0 / (10 * 0.001))
+                log_cf0 = lowpass_filter(log_cf0, modfs, cutoff=20)
+                f0 = log_cf0.exp()
+                f0[vuv < 0.5] = 0
+                dec = dec * mel_stats["std"] + mel_stats["mean"]
+                o_ref = vocoder(dec, f0).squeeze(1).cpu()
+            else:
+                dec = model.infer(label, reference_mel=mel)
+                dec = dec * mel_stats["std"] + mel_stats["mean"]
+                o_ref = vocoder(dec).squeeze(1).cpu()
+
+        torchaudio.save(ref_wav_dir / f"{utt_id}.wav", o_ref, to_mel.sample_rate)
+
+        with torch.no_grad():
+            style_prompt = [prompt]
+            if is_f0_aware_vocoder:
+                dec, log_cf0, vuv = model.infer(
+                    label, style_prompt=style_prompt, return_f0=True
+                )
+                # NOTE: hard code for 10ms frame shift
+                modfs = int(1.0 / (10 * 0.001))
+                log_cf0 = lowpass_filter(log_cf0, modfs, cutoff=20)
+                f0 = log_cf0.exp()
+                f0[vuv < 0.5] = 0
+                dec = dec * mel_stats["std"] + mel_stats["mean"]
+                o_prompt = vocoder(dec, f0).squeeze(1).cpu()
+            else:
+                dec = model.infer(label, style_prompt=style_prompt)
+                dec = dec * mel_stats["std"] + mel_stats["mean"]
+                o_prompt = vocoder(dec).squeeze(1).cpu()
+        torchaudio.save(prompt_wav_dir / f"{utt_id}.wav", o_prompt, to_mel.sample_rate)
+
+    with open(output_dir / "finish", "w") as f:
+        f.write("finish")
+
+
+if __name__ == "__main__":
+    main()

egs/proposed/bin/train.py

@@ -0,0 +1,27 @@
+# Copyright 2024 LY Corporation
+
+# LY Corporation licenses this file to you under the Apache License,
+# version 2.0 (the "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at:
+
+#   https://www.apache.org/licenses/LICENSE-2.0
+
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+# License for the specific language governing permissions and limitations
+# under the License.
+
+import hydra
+from omegaconf import DictConfig
+from promptttspp.trainers.tts import TTSTrainer
+
+
+@hydra.main(version_base=None, config_path="conf/", config_name="train")
+def main(cfg: DictConfig):
+    trainer = TTSTrainer(cfg)
+    trainer.run()
+
+
+if __name__ == "__main__":
+    main()

egs/proposed/preprocess.sh

@@ -0,0 +1,6 @@
+#!/bin/bash -eu
+
+python bin/preprocess.py
+python bin/split_df.py
+python bin/compute_mel.py
+python bin/split_df.py

metadata/metadata_w_style_prompt_tags_v230922.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff118bdb8cdac08cdb103409920626afff0315b9449d89a644a1282889dbe064
+size 81733641

metadata/speaker_prompt_candidates_v230922.csv

@@ -0,0 +1,404 @@
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+38|elegant,adult-like,strong,mature,cool,deep,fluent,masculine,clear
+49|low-pitched,calm,slightly deep,adult-like,slightly halting,slightly wild,masculine,slightly muffled
+57|feminine,raspy,slightly high-pitched,adult-like,slightly cute,slightly cool,slightly intense,fluent,slightly powerful,slightly strict
+64|slightly bright,slightly feminine,strong,slightly clear,slightly young,slightly cool,friendly,lively
+66|calm,sincere,dark,adult-like,strong,high-pitched,elegant,intellectual,fluent,masculine,clear
+92|feminine,slightly sexy,calm,slightly sweet,slightly clear,slightly relaxed,intellectual,fluent,soft
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+121|low-pitched,feminine,slightly sexy,calm,adult-like,strong,intellectual,cool,slightly soft,young,slightly weak,sweet
+122|slightly low-pitched,slightly modest,masculine,young,slightly weak
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+127|slightly muffled,slightly weak,slightly low-pitched,slightly old,mature,unique,masculine,slightly raspy
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+226|feminine,calm,refreshing,slightly friendly,weak,slightly dark,modest,slightly cute,slightly relaxed,slightly intellectual,slightly high-pitched,soft,young,clear,slightly weak,kind
+231|bright,refreshing,slightly lively,adult-like,strong,cool,masculine
+237|feminine,refreshing,adult-like,slightly strong,slightly cool,slightly intellectual,soft,young,slightly muffled,lively
+246|slightly fluent,feminine,calm,middle-aged,slightly intellectual,slightly high-pitched,slightly raspy
+252|slightly low-pitched,slightly friendly,slightly unique,adult-like,masculine
+260|low-pitched,wild,slightly calm,adult-like,strong,mature,cool,slightly intellectual,deep,masculine,slightly raspy
+283|low-pitched,soft,calm,slightly sweet,very wild,slightly middle-aged,very mature,strong,adult-like,cool,deep,masculine,slightly muffled
+296|masculine,calm,slightly bright,weak,slightly high-pitched,modest,adult-like,slightly clear,slightly relaxed,intellectual,fluent,soft,slightly weak,kind
+318|slightly fluent,feminine,adult-like,slightly clear,sharp,slightly high-pitched
+337|feminine,calm,weak,cute,soft,young
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+426|slightly fluent,gender-neutral,slightly clear,slightly adult-like,slightly high-pitched
+472|slightly fluent,feminine,slightly middle-aged,slightly clear,sharp,strict,slightly high-pitched,slightly powerful
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+1607|reassuring,calm,bright,refreshing,slightly lively,light,strong,cool,masculine,young,clear
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+1668|slightly refreshing,elegant,slightly clear,intellectual,slightly sincere,very feminine,young,slightly weak
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+1708|slightly calm,slightly loud,refreshing,slightly light,adult-like,high-pitched,masculine,slightly gender-neutral,slightly muffled
+1717|feminine,weak,slightly halting,slightly adult-like,slightly high-pitched,slightly raspy,modest
+1737|feminine,slightly weak,slightly sexy,refreshing,light,soft,young,slightly raspy
+1754|slightly fluent,feminine,slightly refreshing,slightly low-pitched,sincere,middle-aged,intellectual,slightly strict
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+7107|calm,weak,slightly modest,adult-like,slightly halting,slightly strong,cool,masculine
+7113|very sexy,feminine,calm,sincere,adult-like,soft
+7120|feminine,slightly intellectual,slightly loud,middle-aged,slightly strong,strict,slightly high-pitched
+7134|slightly sexy,masculine,calm,weak,slightly light,elegant,adult-like,slightly clear,slightly relaxed,slightly cool,soft,sweet
+7138|feminine,slightly sexy,calm,slightly sweet,modest,slightly relaxed,intellectual,soft,young,slightly weak,kind
+7155|slightly loud,slightly unique,adult-like,fluent,masculine,slightly powerful
+7169|low-pitched,calm,refreshing,powerful,adult-like,slightly wild,cool,intellectual,fluent,masculine,clear,slightly mature,lively
+7228|low-pitched,slightly fluent,reassuring,calm,sincere,middle-aged,slightly dark,strong,slightly elegant,loud,slightly raspy,mature,deep,masculine,powerful,slightly muffled,slightly strict
+7255|feminine,calm,light,adult-like,relaxed
+7263|feminine,calm,weak,kind,light,unique,halting,soft,relaxed,young,modest,sweet
+7264|calm,slightly low-pitched,middle-aged,strong,intellectual,deep,slightly soft,masculine,slightly mature
+7265|low-pitched,feminine,powerful,light,adult-like,strong,slightly gender-neutral,unique,clear,slightly muffled,lively
+7313|calm,bright,adult-like,strong,slightly wild,cool,intellectual,deep,fluent,masculine,clear
+7333|bright,gender-neutral,strong,cute,high-pitched,clear,lively
+7342|feminine,slightly sexy,calm,slightly middle-aged,slightly modest,slightly elegant,slightly clear,sweet,slightly strong,soft,kind
+7354|slightly halting,slightly young,slightly masculine,slightly intellectual,slightly weak,modest
+7376|feminine,calm,bright,sincere,weak,slightly powerful,slightly high-pitched,adult-like,slightly elegant,slightly strong,intellectual,strict,slightly cool,fluent,slightly soft,slightly reassuring,clear
+7402|slightly muffled,calm,modest,slightly relaxed,masculine,young,slightly weak,kind
+7424|slightly low-pitched,slightly mature,slightly middle-aged,slightly unique,slightly deep,masculine,slightly raspy
+7445|feminine,slightly refreshing,slightly calm,slightly bright,kind,slightly light,adult-like,slightly relaxed,cool,soft,sweet
+7498|feminine,reassuring,slightly sexy,slightly bright,friendly,slightly light,elegant,slightly strong,fluent,soft,young,kind
+7538|refreshing,sincere,elegant,intellectual,fluent,masculine,clear,slightly weak,lively
+7608|masculine,slightly middle-aged,slightly friendly,unique,slightly soft,slightly raspy,kind
+7635|low-pitched,feminine,strong,unique,cool,slightly gender-neutral
+7647|intense,wild,middle-aged,slightly unique,raspy,strong,masculine,slightly mature
+7679|feminine,reassuring,calm,slightly sweet,friendly,slightly dark,modest,cute,slightly strong,slightly high-pitched,slightly soft,young,clear,slightly weak,kind
+7704|slightly sexy,slightly middle-aged,very masculine,elegant,mature,slightly strong,very deep,soft,very low-pitched,kind
+7737|feminine,slightly refreshing,slightly bright,slightly loud,slightly young,cute,friendly,lively
+7783|feminine,calm,slightly low-pitched,sincere,middle-aged,slightly modest,slightly weak
+7809|masculine,calm,weak,adult-like,cool,soft,slightly raspy,modest
+7823|slightly calm,calm,slightly low-pitched,slightly sweet,slightly middle-aged,slightly strong,deep,slightly soft,masculine,slightly muffled
+7839|feminine,adult-like,slightly cute,slightly relaxed,slightly high-pitched,slightly soft,slightly weak,modest
+7879|low-pitched,feminine,calm,kind,adult-like,slightly reassuring,soft,modest
+7932|feminine,calm,slightly sweet,weak,elegant,adult-like,fluent,soft,slightly muffled
+7959|feminine,slightly weak,slightly sexy,slightly lively,slightly elegant,slightly strong,slightly soft,young,slightly raspy,kind
+7967|slightly fluent,feminine,middle-aged,slightly high-pitched,friendly
+7981|slightly dark,elegant,adult-like,strong,mature,intellectual,deep,fluent,masculine,slightly strict
+7988|slightly friendly,slightly old,slightly unique,slightly raspy,slightly relaxed,slightly sincere,masculine,slightly muffled
+8014|feminine,calm,adult-like,cute,slightly high-pitched,soft,slightly raspy,kind
+8015|feminine,slightly muffled,reassuring,calm,elegant,slightly strong,intellectual,slightly cool,soft,young,slightly weak
+8028|low-pitched,calm,slightly sweet,adult-like,strong,cool,deep,fluent,masculine,slightly mature,kind
+8112|very sexy,feminine,calm,weak,slightly unique,elegant,adult-like,slightly halting,slightly strong,intellectual,soft,slightly muffled,sweet
+8119|low-pitched,calm,middle-aged,mature,slightly wild,deep,masculine,slightly powerful,slightly muffled
+8131|low-pitched,reassuring,very dark,calm,sincere,middle-aged,weak,mature,slightly soft,masculine,relaxed,sexy,slightly raspy,kind
+8156|slightly fluent,feminine,slightly bright,slightly middle-aged,slightly friendly,slightly unique,slightly clear
+8193|feminine,slightly calm,middle-aged,slightly strong,slightly high-pitched,friendly
+8199|feminine,slightly low-pitched,slightly loud,slightly mature,middle-aged,slightly sharp,slightly raspy,slightly strict
+8226|low-pitched,masculine,slightly low-pitched,calm,sincere,slightly middle-aged,slightly friendly,slightly deep,soft,clear
+8273|wild,slightly refreshing,bright,adult-like,strong,mature,cool,masculine,very low-pitched,clear
+8288|very sincere,calm,slightly low-pitched,slightly bright,middle-aged,slightly modest,loud,slightly strong,very reassuring,deep,fluent,masculine,clear,slightly mature,kind
+8302|feminine,raspy,elegant,adult-like,slightly strong,cool,kind,sexy
+8312|feminine,slightly muffled,slightly sexy,calm,slightly low-pitched,friendly,kind,adult-like,soft,slightly weak,sweet
+8329|feminine,slightly sexy,calm,refreshing,slightly light,adult-like,sweet,slightly strong,slightly soft,kind
+8356|calm,slightly old,slightly relaxed,slightly high-pitched,masculine,slightly weak,kind
+8401|low-pitched,calm,adult-like,mature,slightly wild,cool,deep,fluent,masculine
+8404|feminine,slightly low-pitched,friendly,slightly middle-aged,slightly soft,slightly raspy
+8421|calm,friendly,middle-aged,kind,intellectual,very feminine,fluent,slightly soft,lively
+8422|very adult-like,very masculine,slightly wild,cool,slightly kind,soft,very low-pitched,very calm
+8430|feminine,slightly loud,cute,slightly strong,sharp,high-pitched,young
+8447|fluent,slightly refreshing,bright,strong,slightly cute,slightly gender-neutral,slightly cool,high-pitched,friendly,young,clear
+8474|low-pitched,masculine,slightly elegant,slightly strong,cool,slightly adult-like,slightly kind,slightly soft
+8527|low-pitched,calm,middle-aged,deep,masculine,slightly strict
+8534|slightly fluent,slightly low-pitched,friendly,middle-aged,slightly lively,slightly strong,unique,masculine
+8555|feminine,slightly sexy,slightly calm,slightly dark,adult-like,slightly soft
+8675|low-pitched,reassuring,wild,sincere,middle-aged,very mature,dark,strong,loud,deep,masculine,slightly strict
+8684|low-pitched,feminine,slightly calm,sincere,slightly unique,slightly dark,adult-like,strong,slightly cool,strict,deep,fluent,powerful
+8699|low-pitched,feminine,slightly sweet,refreshing,adult-like,strong,unique,cool,fluent,slightly soft
+8753|slightly muffled,slightly old,elegant,slightly relaxed,mature,cool,unique,masculine,slightly powerful,slightly raspy
+8758|low-pitched,adult-like,strong,slightly wild,intellectual,masculine,clear,slightly mature
+8770|slightly refreshing,calm,slightly modest,adult-like,slightly strong,cool,masculine,slightly powerful,slightly raspy
+8791|low-pitched,calm,sincere,very masculine,adult-like,slightly cool,intellectual,slightly soft
+8824|masculine,slightly low-pitched,calm,sincere,friendly,middle-aged,cool,slightly soft
+8879|slightly calm,slightly low-pitched,adult-like,slightly strong,masculine
+8897|calm,elegant,adult-like,slightly cute,very feminine,slightly high-pitched,relaxed,slightly weak
+9000|slightly fluent,reassuring,slightly calm,calm,refreshing,sincere,adult-like,strong,cool,slightly kind,slightly soft,masculine,clear
+9022|feminine,slightly calm,slightly low-pitched,sincere,slightly dark,adult-like,slightly elegant,intellectual,slightly soft

metadata/style_prompt_candidates_v230922.csv

@@ -0,0 +1,54 @@
+M_p-low_s-slow_e-low|Ask a low-pitched man to speak slowly with low energy;Ask a man to speak slowly with low volume and low pitch;Ask a man to speak slowly, his pitch and volume are low;Ask a man with a low pitch to speak slowly, his energy is low;Command a man with a high-pitched voice to speak slowly and with low energy;Command a man with a low pitch to speak slowly, his energy is low;Encourage a man with a high-pitched voice to speak slowly and with low energy;Instruct a man with a high-pitched voice to speak slowly and with low energy;Instruct a man with a low pitch to speak slowly, his energy is low;Request a man with a high-pitched voice to speak slowly and with low energy;Request a man with a low pitch to speak slowly, his energy is low;Tell a man with a low pitch to speak slowly, his energy is low;Urge a man with a high-pitched voice to speak slowly and with low energy;ask a low-pitched man to speak slowly with low energy;ask a man to speak slowly with low volume and low pitch;ask a man to speak slowly, his pitch and volume are both low;ask a man to speak slowly, his pitch and volume are low;ask a man to speak slowly, his voice is low in pitch and volume;ask a man to speak slowly, his voice is low-pitched and low-volume;let a high-pitched man to speak slowly with low energy;request a man to speak slowly, his pitch and volume are low
+M_p-low_s-slow_e-normal|A man at low speaking speed and low pitch speaks with normal volume;A man spoke slowly with normal volume and low pitch;A man with a low pitch spoke slowly and at a normal decibel level;A man with a low pitch spoke slowly and at a normal volume;A man with a low pitch spoke slowly and with a normal volume;A man with a low pitch spoke slowly with normal volume;A man with a low-pitched voice speaks slowly and at a normal decibel level;A man with a low-pitched voice speaks slowly and at a normal volume;A man with a low-pitched voice speaks slowly and with a normal decibel level;A man with a low-pitched voice speaks slowly and with a normal sound level;A man with a low-pitched voice speaks slowly and with a normal volume;A man with a low-pitched voice spoke slowly with normal volume;A man with low pitch and normal energy speaks slowly;A man with low pitch and normal volume speaks slowly;A man with low pitch and slow speaking speed speaks at a normal volume;A man with low pitch and slow speaking speed speaks at a normal volume level;A man with low pitch and slow speaking speed speaks with a normal sound level;A man with low pitch and slow speaking speed speaks with a normal volume;A man with low pitch and slow speaking speed speaks with normal volume;A man with low pitch said slowly with normal volume;A man with low pitch speaks slowly with normal volume;A man with low pitch spoke slowly with normal volume;Ask a low-pitched man to speak slowly but in normal volume;Ask a man to speak slowly with normal volume and low pitch;This man speaks slowly with low pitch and normal volume;ask a low-pitched man to speak slowly but in normal volume;ask a man to speak slowly with normal volume and low pitch;this man speaks slowly with low pitch and normal energy
+M_p-low_s-slow_e-high|A gentleman speaks slowly with low pitch and loudly;A gentleman with a deep voice speaks slowly and loudly;A gentleman with a slow and loud voice speaks with a low pitch;A low-pitched male said slowly and loudly;A man speaks slowly and loudly with low pitch and high volume;A man speaks slowly with low pitch and high volume;A man with a low pitch speaks slowly and loudly;A man with a low voice speaks slowly and loudly;A man with a low-pitched voice speaks slowly and loudly;A man with a low-pitched voice spoke slowly and loudly;A man with a low-pitched voice spoke slowly and with a loud tone;A man with a low-pitched voice spoke slowly and with great volume;A man with low pitch and high volume speaks slowly;A man with low pitch and high volume speaks slowly and loudly;A man with low pitch and slow speed speaks loudly;A man with low pitch speaks slowly and loudly;A man with low pitch speaks slowly and loudly with high energy;A man with low pitch speaks slowly and with high energy;A man with low pitch speaks slowly and with high intensity;A man with low pitch speaks slowly and with high volume;A slow-speaking man with low pitch speaks loudly;He speaks loudly with slow speaking speed and low pitch;ask a man to speak slowly with low pitch and high volume;let a low-pitched man speak slowly but in high energy
+M_p-low_s-normal_e-low|A low-pitched male speaks in low pitch and low volume;A low-pitched male voice speaks with standard speed and low energy;A low-pitched male voice speaks with standard speed and low volume;A male character speaks in low pitch and low volume;A male individual speaks in low pitch and low volume;A male person speaks in low pitch and low volume;A male speaks in low pitch and low volume;A male speaks with a low pitch, normal speed and low volume;A male speaks with low pitch and normal speed;A male voice is low-pitched and low-energy;A male voice speaks in low pitch and low volume;A male voice speaks with low pitch, normal speed and low volume;A male with low-pitched voice speaks in low volume and low pitch;A man speaks in low pitch and low volume;A man speaks with a low pitch, normal speed and low volume;A man speaks with low pitch and low volume;A man speaks with low pitch, normal speed and low volume;A man with low-pitched voice speaks in low volume and low pitch;A man with low-pitched voice speaks with standard speaking speed and low volume;A man with low-pitched voice speaks with standard speed and low energy;A man with low-pitched voice speaks with standard speed and low volume;A man's voice speaks with low pitch, normal speed and low volume;He speaks with a low-pitched voice and low volume;He talks with low pitch, low energy and normal speaking speed;a low-pitched man speaks with standard speaking speed and low energy;ask a man to speak with low pitch, normal speed and low volume
+M_p-low_s-normal_e-normal|A man with a low pitch says in normal volume and normal speaking speed;A man with a low pitch speaks in normal volume and normal speed;A man with a low pitch speaks in normal volume and normal talking speed;A man with a low voice level speaks at a normal volume and normal pace;A man with a low-pitched voice speaks with normal volume and normal rate;Ask a low-pitched man to speak normally with standard speed and volume;Ask a low-pitched man to speak with normal speed and normal energy;Ask a man to speak in a low pitch, normal speed, and normal energy;Ask a man to speak in low pitch, normal speed and normal energy;Ask a man with a low pitch to speak at a normal speed and energy level;Ask a man with a low pitch to speak at a normal volume and speed;Command a man to speak in a low pitch, normal speed, and normal energy;Command a man with a low pitch to speak with normal speed and volume;Direct a man with a low pitch to speak with normal speed and energy;Instruct a man to speak in a low pitch, normal speed, and normal energy;Instruct a man with a low-pitched voice to speak at a standard speed and volume;Instruct a man with a low-pitched voice to speak with normal speed and energy;Let a man speak with a low pitch, normal volume and normal talking speed;Request a man to speak with a low pitch, normal speed, and normal energy;Request a man with a low-pitched voice to speak with normal speed and energy;Request a man with a low-pitched voice to speak with standard speed and volume;Tell a man to speak with a low pitch, normal speed, and normal energy;Tell a man with a low pitch to speak with normal speed and energy;Tell a man with a low pitch to speak with normal speed and volume;ask a low-pitched man to speak normally with standard speed and volume;ask a low-pitched man to speak with normal speed and normal energy;ask a man to speak in low pitch, normal speed and normal energy
+M_p-low_s-normal_e-high|A man who has a loud voice, low pitch and normal speed;A man who have a loud voice but low pitch and normal speed;A man who speaks with a loud voice but low pitch and normal speed;A man who speaks with a loud voice, low pitch and normal speed;A man with a loud sound, ask him to speak with low pitch and normal speed;A man with a loud sound, ask him to speak with low pitch and normal speed, please;A man with a loud voice and low pitch, speaking at a normal speed;A man with a loud voice but low pitch and normal speed;A man with a loud voice, low pitch and normal speed;Ask a man to speak with a loud voice but a low pitch and normal speed;Ask a man to speak with a loud voice but a low pitch with standard speaking speed;Ask a man to speak with a loud voice but low pitch and normal speed;Ask a man to speak with a low pitch, normal speed and high energy;Ask a man to speak with low pitch and normal speed, with a loud sound;Ask a man with a loud sound to speak with low pitch and normal speed;Command a man to speak with a low pitch, normal speed and high energy;Command a man to speak with low pitch, normal speed and high energy;Instruct a man to speak loudly but with a low pitch and normal speed;Instruct a man to speak with a low pitch, normal speed and high energy;Request a man to speak with a loud sound but a low pitch and normal speed;Request a man to speak with a low pitch, normal speed and high energy;Speak with a loud sound, ask a man to speak with low pitch and normal speed;Tell a man to speak loudly but with a low pitch and normal speed;Tell a man to speak with a low pitch, normal speed and high energy;ask a man to speak with low pitch, normal speed and high energy;ask a man with a loud sound to speak with low pitch and normal speed;tell a man to speak loudly but pitch is low with normal speaking speed
+M_p-low_s-fast_e-low|Ask a low-pitched male to speak quickly and in a low volume;Ask a low-pitched male to speak quickly and in small volume;Ask a low-pitched male to speak quickly and with low volume;Ask a low-pitched male with fast speaking speed and small volume;Ask a low-pitched man to speak quickly and in small volume;Ask a low-pitched man to speak quickly and with low volume;Ask a low-pitched man to speak quickly with small energy;Ask a low-pitched man with fast speaking speed and small volume;Ask a man to speak fast but with low pitch and low volume;Ask a man to speak quickly with a low pitch and low volume;Command a man to speak fast with a low pitch and low volume;Direct a low-pitched male to speak quickly and with a small voice;Direct a man to speak quickly with a low pitch and low volume;Instruct a low-pitched male to speak quickly and with a small volume;Instruct a man to speak quickly with a low pitch and low volume;Request a man to speak fast with a low pitch and low volume;ask a low-pitched male to speak quickly and in small volume;ask a low-pitched male to speak quickly and with low volume;ask a low-pitched man with fast speaking speed and small volume;ask a man to speak fast but with low pitch and low volume
+M_p-low_s-fast_e-normal|A low-pitched male speaks fast with normal volume;A low-pitched voice speaks fast with normal power;A male with a low-pitched voice speaks quickly and with normal power;A male with a low-pitched voice speaks rapidly and with normal intensity;A man speaks quickly with a low pitch and normal volume;A man with a low pitch speaks fast with normal volume;A man with a low-pitched voice speaks fast and at a normal loudness;A man with low pitch speaks quickly and at a normal volume;Ask a man to speak with a low pitch and fast speaking speed, while maintaining normal power;Ask a man to speak with low pitch and fast speed, while maintaining a normal volume;Ask a man to speak with low pitch, fast speaking speed and normal power;Ask a man with low pitch to speak quickly, but maintain a normal energy level;Command a man to speak with a low pitch and a fast speaking speed, while keeping the volume normal;Command a man with a low-pitched voice to speak quickly, but keep his energy level normal;Direct a man to speak quickly, with a low pitch and a normal volume;Direct a man to speak with a low pitch, fast speaking speed, and normal power;He speaks fast with a low pitch and normal power;He speaks fast with low pitch and normal power;Instruct a man to speak at a fast pace, while keeping his pitch low and his volume normal;Instruct a man to speak with a low pitch, fast speaking speed, and normal power;Request a man to speak quickly, but with a low pitch and a normal volume;Request a man to speak with a low-pitched voice, fast speech, and normal volume;Request a man with a low-pitched voice to speak rapidly, while keeping his energy level normal;Tell a man to speak with a low-pitched voice, fast speech, and normal volume;Tell a man with a low-pitched voice to speak fast, but maintain a normal energy level;ask a low-pitched man to speak fast but in normal energy;ask a man to speak fast but with low pitch and normal volume;ask a man to speak with low pitch, fast speaking speed and normal power
+M_p-low_s-fast_e-high|A low-pitched male speaks fast with high power;A male with a low-pitched voice speaks fast and with high energy;A male with a low-pitched voice speaks fast and with high intensity;A man with a low voice speaks fast and loudly;A man with a low voice speaks fast and with high volume;A man with a low voice speaks quickly and loudly;A man with a low voice speaks quickly and loudly with high energy;A man with a low voice speaks quickly and with high amplitude;A man with a low voice speaks quickly and with high energy;A man with a low voice speaks quickly and with high power;A man with a low voice speaks quickly and with high volume;A man with a low voice speaks quickly and with high volume and energy;A man with a low-pitched voice speaks fast and loudly with high energy;A man with a low-pitched voice speaks fast and with high energy;Ask a man to speak quickly and loudly with a low pitch;Ask a man to speak with a low pitch and high energy, but quickly and loudly;Ask a man to speak with a low pitch and high volume, but quickly;Ask a man to speak with a low voice and high energy, but fast and loudly;Ask a man to speak with a low voice and high volume, but fast;Ask a man with a low voice to speak quickly and loudly;He speaks loudly with fast talking speed and low pitch;a low-pitched man speaks with fast speaking speed and high energy;ask a man to speak fast but low pitch and high volume;ask a man with low voice to speak quickly and loudly
+M_p-normal_s-slow_e-low| ask a man to speak slowly with normal pitch and low energy;Ask a man to say at a low volume of speech at a slower speaking speed;Ask a man to use a normal pitch and low volume to say slowly;Ask a man to use a normal pitch and low volume to say slowly, please;Ask a man to use normal pitch and low volume to say slowly;Can I ask a man to speak slowly with normal pitch and low energy?;Can I ask a man to speak slowly with normal pitch and low volume?;Can I ask a man to speak slowly, with normal pitch and low volume?;Can I inquire about asking a man to speak at a low volume, normal pitch, and a slower speed of sound?;Can I request a man to speak at a low volume with a normal pitch and a slow speed of sound?;Can I request a man to use normal pitch and low volume to say slowly?;Can you ask a man to speak at a low volume with a slower pitch and a low speed of sound?;Can you ask a man to speak at a low volume with a slower speed of sound?;Can you ask a man to speak slowly with normal pitch and low energy?;Can you ask a man to use a low volume of speech with a slower speaking speed?;Can you kindly ask a man to speak slowly with normal pitch and low energy?;Is it okay to request a man to say something at a low volume, normal pitch, and a slower speed of sound?;Is it possible to ask a man to say at a low volume with normal pitch and a slow speed of sound?;Is it possible to ask a man to say something at a low volume, normal pitch, and slow speed?;May I ask a man to say at a low volume with a slower speaking rate?;May I ask a man to speak at a low volume with normal pitch and a slower speaking speed?;May I ask a man to use a normal pitch and low volume to say slowly?;May I inquire a man to use a normal pitch and low volume to say slowly?;May I request a man to speak at a low volume with normal pitch and a slow speed of sound?;May I request a man to speak slowly with a low volume of sound?;May I request a man to use a normal pitch and low volume to say slowly?;May i ask a man to say at a low volume at a normal pitch and a low speed of sound;May i ask a man to say at a low volume with normal pitch and a slow speed of sound;Would you ask a man to speak slowly with normal pitch and low energy?;Would you mind asking a man to speak slowly with normal pitch and low energy?;ask a man to speak slowly with normal pitch and low energy
+M_p-normal_s-slow_e-normal|A man speaks in a normal pitch slowly with normal volume;A man speaks slowly with normal pitch and normal volume;A man speaks slowly with normal pitch and volume;A man speaks slowly, with a normal pitch and a normal volume;A man speaks slowly, with a normal pitch and volume;A man speaks slowly, with normal pitch and volume;A man speaks with a normal pitch and normal volume, but slowly;A man speaks with a normal pitch and slow speed;A man speaks with a slow speed, a normal pitch and volume;A man speaks with a slow speed, normal pitch and volume;A man speaks with slow speaking speed, normal pitch and normal volume;A man spoke slowly with a normal volume and standard pitch;A man spoke slowly with a standard volume and normal pitch;Ask a man to speak slowly but with normal pitch and normal volume;This man said slowly with standard volume and normal pitch;This man spoke slowly with a normal volume and standard pitch;This man spoke slowly with a standard volume and normal pitch;a man speaks with slow speaking speed, normal pitch and normal volume;ask a man to speak slowly but with normal pitch and normal volume;this man said slowly with standard volume and normal pitch
+M_p-normal_s-slow_e-high|Ask a man to speak with a normal pitch and slow talking speed, and high energy;Ask a man to speak with normal pitch and slow talking speed, and high energy;Ask a man to speak with normal pitch, slow talking speed and high energy;Ask a man with a loud voice and say a word slowly;Ask a man with a loud voice to articulate slowly;Ask a man with a loud voice to pronounce slowly;Ask a man with a loud voice to say slowly;Ask a man with a loud voice to speak slowly;Ask a man with loud sound to articulate slowly;Ask a man with loud sound to pronounce slowly;Ask a man with loud sound to say slowly;Ask a man with loud sound to speak slowly;Ask a man with loud voice to say slowly;Let a man speak slowly with high energy and normal pitch;Let a man with high energy and normal pitch speak slowly;Request a man with a loud voice to say a word slowly;ask a man to speak with normal pitch, slow talking speed and high energy;let a man speak slowly with high energy and normal pitch
+M_p-normal_s-normal_e-low|He speaks quietly, but his speech has a normal pitch and a standard talking speed;He speaks with a low volume, but his speech has a normal pitch and a standard talking speed;He speaks with a low volume, but his speech has a normal pitch and normal speaking speed;He speaks with a low volume, but his speech is at a standard pace;He speaks with a low volume, but his speech is normal;He speaks with low energy, but the pitch is normal and the speed is standard;He speaks with low volume, but the pitch is normal and the speed is standard;He speaks with low volume, but the speed is normal;he speaks with low volume but speaks normally with standard speaking speed;ask a man to speak with low energy but normal pitch and normal speaking speed;he speaks with low volume but the speech has normal pitch and standard talking speed;he speaks with low volume, but his speech has normal pitch and normal speaking speed;his voice is small in volume, but the speed is normal
+M_p-normal_s-normal_e-normal|A man speaks in average speaking speed with a normal pitch and normal volume;A man speaks with a normal pitch, speed, and volume;A man speaks with a normal volume, average speaking speed, and normal pitch;A man speaks with a normal volume, normal pitch, and average speaking speed;A man speaks with a normal volume, normal speaking speed, and normal pitch;A man speaks with a normal volume, standard pitch, and normal speaking speed;A man speaks with a normal volume, standard speaking speed, and normal pitch;A man speaks with a regular pitch, speed, and volume;A man speaks with a standard pitch, speed, and volume;A man speaks with a typical pitch, speed, and volume;A man speaks with an average pitch, speed, and volume;A man speaks with average pitch, normal volume and average speaking speed;A man speaks with normal pitch, average speaking speed and normal volume;A man speaks with normal volume, average pitch and normal speaking speed;A man speaks with normal volume, average speaking speed and standard pitch;A man speaks with normal volume, normal pitch and average talking speed;A man speaks with normal volume, normal pitch and normal talking speed;A man speaks with normal volume, normal pitch and regular talking speed;A man speaks with normal volume, normal pitch and standard talking speed;A man speaks with normal volume, normal pitch and typical talking speed;A man speaks with normal volume, standard pitch and average speaking speed;A man speaks with normal volume, standard speaking speed and normal pitch;ask a man to speak normally with normal pitch, speed, and volume
+M_p-normal_s-normal_e-high| ask a man to speak normal pitch, normal speed and high energy;A man speaks with high volume and normal pitch, speaking at a normal speed;A man speaks with high volume, normal pitch, and a normal speaking speed;A man speaks with high volume, normal pitch, and a speed that is normal;A man speaks with high volume, normal pitch, and a speed that is typical;A man speaks with high volume, normal pitch, and normal speaking speed;He said loudly with normal speed and high pitch;He speaks loudly with normal speed and high pitch;He speaks with a high volume, normal speed and a high pitch;He speaks with high energy, normal pitch and normal speed;He speaks with high volume and normal speed, with a high pitch;He speaks with normal pitch and high energy, at a normal speed;He speaks with normal pitch and normal speed, but with high energy;He speaks with normal pitch, high energy and normal speed;He speaks with normal pitch, normal speed and high energy;He spoke loudly with normal speed and a high pitch;He spoke loudly with normal speed and high pitch;He spoke loudly, with normal speed and a high pitch;He spoke loudly, with normal speed and a high-pitched voice;He spoke with a loud voice and normal speed, with a high pitch;He spoke with high volume and normal speed, with a high pitch;a man speaks with high volume but normal pitch and normal speaking speed
+M_p-normal_s-fast_e-low|Ask a man to speak fast with normal pitch and low energy;Ask a man to speak quickly with a normal pitch and low energy;Ask a man to speak quickly with low energy and standard pitch;Ask a man to speak quickly, with a normal pitch and low energy;Ask a man to speak with a normal pitch and a fast speaking speed, while keeping the energy low;Ask a man to speak with a normal pitch, but speak quickly and with low energy;Ask a man to speak with a normal pitch, but with a fast speaking speed and low energy;Ask a man to speak with a normal pitch, but with a fast speaking speed and low volume;Ask a man to speak with a normal pitch, but with a quick pace and low volume;Ask a man to speak with a normal pitch, but with a quick tempo and low volume;Ask a man to speak with a standard pitch, but with a fast pace and low energy;Ask a man to speak with a standard pitch, but with a quick pace and low energy;He speaks with a fast speaking speed and normal pitch and low volume;He speaks with a low volume and fast speaking speed and normal pitch;He speaks with a normal pitch and fast speaking speed and low volume;He speaks with a normal pitch and low volume, and his speaking speed is fast;He speaks with fast speaking speed and normal pitch and low volume;His pitch is normal, but his speaking speed is fast and his volume is low;His pitch is normal, but his speaking speed is fast, and his volume is low;His pitch is normal, but the speed is fast, and the volume is low;His speaking speed is fast, and his pitch is normal, and his volume is low;ask a man to speak fast with normal pitch and low energy;ask a man to speak quickly with low energy and standard pitch;he speaks with fast speaking speed and normal pitch and low volume
+M_p-normal_s-fast_e-normal| a man speaks quickly with standard pitch and standard energy;A male voice speaks fast with normal pitch and normal volume;A male who speaks quickly has normal pitch and volume;A male's pitch and volume are typical when he speaks quickly;A man speaks quickly with a normal pitch and standard energy;A man speaks quickly with a normal pitch and standard volume;A man speaks quickly with a standard pitch and normal energy;A man speaks quickly with a standard pitch and normal volume;A man speaks quickly with a standard pitch and standard energy;A man speaks quickly with normal pitch and normal volume;A man speaks quickly with normal pitch and standard volume;A man speaks quickly with standard pitch and standard energy;A man's pitch and volume are normal when he speaks quickly;A man's pitch and volume are standard when he speaks quickly;A man's voice that speaks quickly has a normal pitch;A man's voice that speaks quickly is normal in pitch;A quick-talking man's voice is normal in pitch;Ask a male to speak quickly, his pitch and volume are normal;Ask a man to speak quickly, his pitch and volume are normal;Let a man speak fast with normal pitch and normal volume;Let us use the voice of a fast speaking man, his pitch is normal;Let's use a man's voice that speaks quickly and has a normal pitch;Let's use a man's voice that speaks quickly and has a normal pitch and volume;This man speaks quickly with normal pitch and standard volume;When a male speaks quickly, his pitch and volume remain normal;ask a male to speak quickly, his pitch and volume are normal;ask a man to speak fast but with normal pitch and normal volume;let us use the voice of a fast speaking man, his pitch is normal;this man speaks quickly with normal pitch and standard volume
+M_p-normal_s-fast_e-high| a man speaks quickly with average pitch and high volume;A man speaks fast with average pitch and high energy;A man speaks fast with average pitch and high volume;A man speaks fast with normal pitch and high energy;A man speaks quickly with a loud voice and average pitch;A man speaks quickly with average pitch and high volume;A man speaks quickly with normal pitch and high volume;Ask a man to quickly say a word with a loud voice;Ask a man to quickly say a word with a loud voice and average pitch;Ask a man to quickly say a word with a loud voice and normal pitch;Ask a man to quickly say something with normal pitch and high energy;Ask a man to quickly speak with a high volume and normal pitch;Ask a man to quickly speak with a normal pitch and high volume;Ask a man to quickly speak with average pitch and high volume;Ask a man to quickly talk with a high volume and normal pitch;Ask a man to quickly talk with normal pitch and high volume;Ask a man to say a word with a loud voice and fast speaking speed and average pitch;Ask a man to say a word with a loud voice and fast speaking speed and normal pitch;Ask a man to say a word with a loud voice and fast speed;Ask a man to say something with a loud voice and fast speaking speed and normal pitch;Ask a man with a loud voice to quickly say a word;Ask a man with a loud voice to quickly say a word with average pitch;Ask a man with a loud voice to quickly say a word with normal pitch;Ask a man with a loud voice to say a word fast with average pitch;Ask a man with a loud voice to say a word quickly;Ask a man with a loud voice to say a word quickly with average pitch;Ask a man with a loud voice to say a word quickly with normal pitch;a man speaks fast with normal pitch and high energy;ask a man to say a word with a loud voice and fast speaking speed and normal pitch
+M_p-high_s-slow_e-low| a man speaks with slow speaking speed, high pitch, and low volume; ask a man to speak slowly with high pitch and low energy;A man speaks slowly with a high-pitched voice and low volume;A man speaks slowly with low volume and high-pitched voice;A man speaks slowly, with a high pitch and low energy;A man speaks slowly, with a high pitch and low volume;A man speaks slowly, with a high pitch and low-energy voice;A man speaks slowly, with a high-pitched voice and low energy;A man speaks slowly, with a high-pitched voice and low volume;A man speaks slowly, with a low volume and a high-pitched voice;A man speaks slowly, with a low volume and high-pitched voice;A man speaks slowly, with low volume and a high-pitched voice;A man speaks with a high-pitched voice, slow speed, and low volume;A man speaks with a low volume, high-pitched voice, and slow speed;He speaks slowly, but with a high-pitched voice and low volume;He speaks slowly, with a low-energy voice and high pitch;a man speaks with slow speaking speed, high pitch, and low volume;ask a man to speak slowly with high pitch and low energy;he speaks slowly, but with high pitch and low volume;high pitched, slow speaking, low volume, man
+M_p-high_s-slow_e-normal| a man speaks slowly with normal volume and high pitch; ask a man to speak slowly with high pitch and normal volume;A man speaking slowly, but the sound is high-pitched and volume is normal;A man speaking slowly, with a high pitch and normal volume;A man speaks slowly with normal volume and high pitch;A man speaks slowly, but his pitch is high and volume is average;A man speaks slowly, but his pitch is high and volume is high;A man speaks slowly, but his pitch is high and volume is low;A man speaks slowly, but his pitch is high and volume is moderate;A man speaks slowly, but his pitch is high and volume is normal;A man speaks slowly, with a high pitch and average volume;A man speaks slowly, with a high pitch and normal volume;A man speaks slowly, with a high-pitched voice and average volume;A man speaks slowly, with a high-pitched voice and normal volume;A man speaks slowly, with a normal volume and high pitch;A man talking slowly, but the sound is high-pitched and volume is normal;A man who speaks slowly, but he has a high pitch and low energy;A man who speaks slowly, but his voice is high-pitched and low-amplitude;A man who speaks slowly, but his voice is high-pitched and low-decibel;A man who speaks slowly, but his voice is high-pitched and low-energy;A man who speaks slowly, but his voice is high-pitched and low-intensity;A man who speaks slowly, but his voice is high-pitched and low-volume;A man who speaks slowly, with a high pitch and normal volume;Ask a man to speak slowly with high pitch and normal volume
+M_p-high_s-slow_e-high| a high-pitched man speaks slowly with high volume;A high-pitched man speaks slowly with high volume;A man speaks loudly and slowly, but with a high pitch;A man speaks loudly and with a high pitch, but slowly;A man speaks loudly with high pitch and high energy;A man speaks loudly with high pitch but slowly;A man speaks slowly and loudly with high pitch;A man speaks slowly and with a high pitch, but loudly;A man speaks slowly with a high pitch and a high-energy voice;A man speaks slowly with a high pitch and a high-pitched voice;A man speaks slowly with a high pitch and a loud, high-pitched voice;A man speaks slowly with a high pitch and high energy;A man speaks slowly with a high pitch and loud volume;A man speaks slowly with high pitch and high energy;A man speaks slowly with high pitch and high volume;A man speaks slowly with high pitch but loudly;A man with a high-pitched voice speaks slowly and loudly;A man with a high-pitched voice speaks slowly and with high volume;A man with a high-pitched voice speaks slowly, but loudly;A man with a high-pitched voice speaks slowly, but with high volume;A man with a high-pitched voice speaks slowly, with high volume;Ask a man speaks slowly with high pitch and high energy;This man said loudly and his speed is slow, but the pitch is high;This man speaks slowly and loudly, but with high pitch;This man speaks slowly and loudly, with a high pitch;This man speaks with a high pitch, slowly and loudly;ask a man speaks slowly with high pitch and high energy;this man speaks slowly and loudly, but with high pitch
+M_p-high_s-normal_e-low|A high-pitched man speaks with normal speed and low volume;A high-pitched man with low volume and normal speed;A man speaks with high pitch, normal talking speed and low energy;A man with a high-pitched voice speaks at a normal speed and low volume;A man with a high-pitched voice speaks with a normal speed and low volume;A man with a high-pitched voice speaks with low volume and normal speed;A man with a high-pitched voice speaks with normal speed and low volume;A man with a high-pitched voice speaks with normal speed, low volume, and normal energy;A man with high pitch, low volume and normal speed;A man with high pitch, normal speed and low volume;Ask a high-pitched man to speak with normal speaking speed and low volume;Ask a man with a high-pitched voice to speak with normal speed and low volume;Create a man with a high-pitched voice for me, and his volume is low and speed is normal;Create a man with a high-pitched voice, low volume, and normal speed for me;I want a man with a high pitch but low volume and normal speaking speed;I want a man with a high-pitched voice, low volume, and normal speed;I want a man with high pitch but low volume and normal speaking speed;Let me ask a high-pitched man to speak with low volume and normal talking speed;Let me ask a man with a high-pitched voice to speak with low volume and normal speed;Let me request a man with a high-pitched voice to speak with low volume and normal speed;a man speaks with high pitch, normal talking speed and low energy;ask a high-pitched man to speak with normal speaking speed and low volume;let me ask a high-pitched man to speak with low volume and normal talking speed
+M_p-high_s-normal_e-normal|A gentleman with a high-pitched voice speaks with normal energy and normal speaking speed;A high-pitched man speaks with standard speed and normal volume;A man with a high-pitched voice speaks at a standard speed and normal volume;A man with a high-pitched voice speaks with normal energy and normal speaking speed;A man with a high-pitched voice speaks with normal energy and normal volume;A man with a high-pitched voice speaks with normal energy and normal volume at a standard speed;A man with a high-pitched voice speaks with normal energy and standard speaking speed;A man with a high-pitched voice speaks with normal energy and standard speed at normal volume;A man with a high-pitched voice speaks with normal speed and average volume;A man with a high-pitched voice speaks with normal speed and normal volume;a gentleman speaks with high pitch, normal energy and normal speaking speed;a high-pitched man speaks with standard speed and normal volume;a man speaks with high pitch, normal energy and normal speaking speed;ask a high-pitched man to speak with normal speaking speed and normal energy;ask a high-pitched man to talk with normal speed and average volume;ask a man to speak with high pitch and normal energy but standard articulation speed;ask a man to speak with high pitch and normal energy but standard speaking rate;ask a man to speak with high pitch and normal energy but standard speaking speed;ask a man to speak with high pitch and normal energy but standard speech speed;ask a man to speak with high pitch and normal energy but standard talking speed;ask a man to speak with normal energy, normal speed and high pitch;ask a man with high-pitched voice to speak with average energy and normal speed;ask a man with high-pitched voice to speak with normal energy and normal speed;ask a man with high-pitched voice to speak with normal speed and average volume;ask a man with high-pitched voice to speak with normal speed and normal energy;ask a man with high-pitched voice to speak with normal volume and normal speed;ask a man with high-pitched voice to talk with normal energy and average volume;ask a man with high-pitched voice to talk with normal energy and normal speed;ask a man with high-pitched voice to talk with normal speed and average volume;let us ask a man to talk normally with high pitch
+M_p-high_s-normal_e-high| a man speaks with high pitch, normal talking speed and normal power;A high-pitched man is asked to speak loudly at a normal speed;A man speaks with a high pitch, normal talking speed and normal power;A man speaks with a high pitch, normal talking speed, and normal intensity;A man speaks with a high pitch, normal talking speed, and normal power;A man speaks with a high pitch, normal talking speed, and normal volume;A man speaks with a high-pitched voice, normal talking speed, and normal power;A man speaks with a high-pitched voice, normal talking speed, and normal volume;A man speaks with high pitch, normal speed and high energy;A man speaks with high pitch, normal speed and high energy level;A man speaks with high pitch, normal talking speed and high energy;A man speaks with high pitch, normal talking speed and normal power;A man speaks with normal talking speed and high power, and a high pitch;A man with a high-pitched voice is asked to speak loudly and at a normal speed;A man with a high-pitched voice is asked to speak loudly at a normal speed;Ask a man to speak with a high pitch, normal talking speed and normal power;Ask a man to speak with high pitch, normal speed and high energy;Ask a man to speak with high pitch, normal speed and normal power;Ask a man to speak with high pitch, normal talking speed and high energy;Ask a man to speak with high pitch, normal talking speed and high power;High pitch sound, man, loud volume, but standard speaking speed;ask a high-pitched man to speak loudly with normal speaking speed;ask a man to speak with high pitch, normal sped and high energy;high pitch sound, man, loud volume, but standard speaking speed;loud volume, a man, high pitch sound, but his speed is no different from ordinary people
+M_p-high_s-fast_e-low| ask a high-pitched man to talk fast with low volume; ask a man to speak with high pitch, fast speaking speed and low energy;A high-pitched male quickly said for us, his volume is low;A high-pitched male quickly said, his volume is low;A high-pitched male said for us, his volume is low, quickly;A high-pitched male said for us, quickly, his volume is low;A high-pitched male said quickly for us, his volume is low;A high-pitched male said, for us, quickly, his volume is low;A high-pitched man quickly said, his volume is low;A high-pitched man said quickly, his volume is low;A man said quickly, his volume is low and pitch is high;A man was asked to say with fast talking speed, his volume is low and pitch is high;Ask a high-pitched male to say quickly, his volume is low;Ask a high-pitched male to say quickly, his volume is low and pitch is high;Ask a high-pitched man to talk fast with low volume;Ask a male to quickly say, his volume is low and pitch is high;Ask a male to say quickly, his volume is low and pitch is high;Ask a man to say with a high pitch, fast speaking speed, and low energy level;Ask a man to say with a high pitch, fast speaking speed, and low energy output;Ask a man to say with fast talking speed, his volume is low and pitch is high;Ask a man to speak quickly, his volume is low and his pitch is high;Ask a man to speak with a high pitch, fast speaking speed, and low energy;Ask a man to speak with a high-pitched voice, fast talking speed, and low volume;Ask a man to speak with a high-pitched voice, fast talking speed, and low volume level;Ask a man to speak with high pitch, fast speaking speed and low energy;a high-pitched male said quickly for us, his volume is low;ask a high-pitched male to say quickly, his volume is low,
+M_p-high_s-fast_e-normal| ask a high-pitched man to speak fast with normal volume; ask a high-pitched man to speak with fast speaking speed and normal energy;A high-pitched man quickly spoke to me with normal volume;A high-pitched man quickly spoke to me with normal volume and energy;A high-pitched man speaks fast with normal energy;A high-pitched man speaks fast with normal volume;A high-pitched man speaks quickly with normal volume;A high-pitched man spoke quickly to me with normal volume and energy;A high-pitched man spoke with fast speed and normal energy and volume;A high-pitched man spoke with fast speed and normal volume and energy;A high-pitched man spoke with fast speed and normal volume, and normal energy;A man speaks fast with high pitch and normal energy;Ask a high-pitched man to speak with fast speaking speed and normal energy;Ask a man to speak with a high-pitched voice, fast speaking speed, and normal energy;Ask a man to speak with high pitch, fast speaking speed and normal power;Ask a man to speak with high pitch, fast speaking speed and normal volume;He quickly said to me, the pitch is high and volume is normal;He speaks fast with a high-pitched voice and normal volume;He speaks fast with high pitch and normal volume;He speaks quickly with a high-pitched voice and normal energy;He speaks with high pitch, fast speaking speed and normal power;The high-pitched man spoke fast with normal volume;The high-pitched man spoke quickly with normal volume;The high-pitched man spoke with fast speed and normal volume;The high-pitched man spoke with normal energy and fast speed;The man with high-pitched voice speaks fast with normal volume;a high-pitched man speaks fast with normal volume;ask a man to speak with high pitch, fast speaking speed and normal power;he speaks fast with high pitch and normal energy
+M_p-high_s-fast_e-high| ask a male to speak with high pitch, fast speaking speed and high volume; ask a man to speak fast with high pitch and high energy; let a man to speak quickly with high pitch and high volume;A high-pitched man speaks fast with high energy;A man speaks fast with a high pitch and high volume;A man speaks fast with high energy and a high pitch;A man speaks quickly and loudly, with a high pitch;A man speaks quickly with a high pitch and high volume;A man speaks quickly with a high-pitched voice and high volume;A man speaks quickly with high energy and a high-pitched voice;A man speaks with high energy and a high pitch, quickly and loudly;A man with a high pitch and high energy speaks fast;A man with a high pitch speaks quickly with high energy;A man with a high-pitched voice speaks fast and with high energy;A man with a high-pitched voice speaks fast and with high volume;A man with a high-pitched voice speaks quickly and with high energy;A man with a high-pitched voice speaks quickly and with high energy and volume;A man with a high-pitched voice speaks quickly and with high volume;Ask a high-pitched man to speak fast with high energy;Ask a male to speak with a high-pitched voice, fast speaking speed, and high volume;Ask a male to speak with high pitch, fast speaking speed and high volume;Ask a man to speak fast with high pitch and high energy;Ask a man to speak quickly with a high-pitched voice and high energy;Ask a man with fast speaking speed, high energy and high pitch;Command a male to speak with a high-pitched voice, fast speaking speed, and high volume;Command a man to speak quickly with a high-pitched voice and high energy;His pitch is high, the volume is high, and he speaks fast;His pitch is high, the volume is high, and he speaks quickly;His pitch is high, the volume is large, and he speaks fast;His pitch is high, the volume is large, and he speaks quickly;Inquire a male to speak with a high-pitched voice, fast speaking speed, and high volume;Instruct a male to speak with a high-pitched voice, fast speaking speed, and high volume;Instruct a man to speak fast with a high-pitched voice and high energy;Let a man to speak quickly with high pitch and high volume;Request a male to speak with a high-pitched voice, fast speaking speed, and high volume;Request a man to speak fast with a high-pitched voice and high energy;Tell a man to speak quickly with a high-pitched voice and high energy;ask a high-pitched man to speak fast with high energy;ask a man with fast speaking speed, high energy and high pitch
+F_p-low_s-slow_e-low| ask a female to speak with low pitch, slow speaking speed and low energy; let a woman to talk in low pitch, slow speed and low volume;A female is asked to speak slowly with a low pitch and low volume;A female is speaking slowly with a low pitch and low volume;A female is told to speak slowly with a low pitch and low volume;A female speaks slowly in low pitch with low power;A female's pitch is low, her speaking speed is slow, and her volume is low;A female's speech is often delivered in a low pitch, at a slow speed, and with low energy;A female's tone of voice is usually characterized by its low pitch, slow speed, and low energy;A female's voice is in low volume, her pitch is low, and her speaking speed is slow;A female's voice is low, her speaking speed is slow, and her volume is low;A female's voice is low, her speech is slow, and her volume is low;A female's voice is typically characterized by its low pitch, slow speed, and low energy;A female's way of speaking is often characterized by her low pitch, slow speed, and low energy;A woman is requested to speak slowly with a low pitch and low volume;A woman's pitch is low, her speaking speed is slow, and her volume is low;A woman's voice is low, her speech is slow, and her volume is low;Ask a female to talk in a low pitch, slow speed, and low volume;Ask a woman to speak slowly with a low pitch and low volume;Her pitch is low, her speaking speed is slow, and her voice is in small volume;Her voice is in low volume, her pitch is low, and her speaking speed is slow;Instruct a female to speak slowly, with a low pitch and low volume;Let a woman speak slowly with a low pitch and a low volume;Let a woman speak slowly with a low pitch and low volume;Let a woman speak with a low pitch, slow speed, and low volume;Request a woman to speak with a low pitch, slow speed, and low volume;When a female speaks, she typically uses a low pitch, slow speed, and low energy;ask a woman to speak slowly with low pitch and low volume
+F_p-low_s-slow_e-normal| ask a female person to speak slowly with low pitch and normal volume; ask a woman to speak with low pitch, slow speed and normal energy;A female is advised to speak with low pitch, slow speed and normal energy;A female is asked to speak slowly with low pitch and normal volume;A female is requested to speak with low pitch, slow speed and normal energy;A female person is asked to speak with low pitch, slow speed and normal volume;A female person is requested to speak slowly with low pitch and normal volume;A female person speaks slowly with normal volume and high pitch;A female person speaks slowly, with low pitch and normal volume;A female person speaks slowly, with normal volume and low pitch;A female person speaks with low pitch, slow speed and normal volume;A female person with low pitch speaks slowly, with normal volume;A female person with normal volume speaks slowly, with low pitch;A female speaks in high pitch but slowly with normal volume;A woman is asked to speak slowly with low pitch and normal volume;A woman is asked to speak with low pitch, slow speed and normal energy;A woman is asked to speak with low pitch, slow speed and normal volume;A woman is instructed to speak with low pitch, slow speed and normal energy;A woman is urged to speak with low pitch, slow speed and normal energy;A woman speaks slowly with low pitch and normal volume;A woman speaks slowly with normal volume and high pitch;A woman speaks with low pitch, slow speed and normal volume;A woman with low pitch speaks slowly, with normal volume;A woman with normal volume speaks slowly, with low pitch;There is a woman who speaks slowly, with normal volume and low pitch;ask a woman to speak slowly with low pitch and normal volume
+F_p-low_s-slow_e-high| ask a woman to speak with high volume, low pitch and slow talking speed; let a female person to talk with low pitch, slow speaking speed and high volume;A female person should be allowed to speak with a low pitch, slow speed, and high volume;A female person should be asked to speak with a low pitch, slow speed, and high volume;A female person should be instructed to speak with a low pitch, slow speed, and high volume;A female person should be requested to speak with a low pitch, slow speed, and high volume;A female person should be told to speak with a low pitch, slow speed, and high volume;A female person should speak slowly, with low pitch and high volume;A female person speaks slowly and loudly, her pitch is low;A female should speak slowly, with low pitch and high volume;A female speaks slowly and loudly but with low pitch;A female with a low pitch and slow speaking speed spoke loudly;A woman should speak slowly, with low pitch and high volume;A woman speaks slowly and loudly, her pitch is low;A woman who speaks slowly, her pitch is low, she said loudly;A woman with a low pitch and slow speaking speed spoke loudly;A woman with a slow speaking speed, low pitch, and loud volume spoke;Ask a woman to speak slowly and loudly, her pitch is low;Ask a woman to speak slowly, her pitch is low, she said loudly;Ask a woman to speak slowly, with low pitch and high volume;Let a female person speak slowly and loudly, her pitch is low;Let a female person speak slowly, with low pitch and high volume;ask a woman to speak slowly with low pitch and high volume
+F_p-low_s-normal_e-low| ask a woman to speak with low pitch, normal speed and low energy; let a female person to speak with normal speed, low pitch and low volume;A female is speaking with a low pitch, normal speed and low volume;A female is speaking with a low-pitched voice, normal speed and low volume;A female is speaking with low pitch, normal speed and low volume;A female person speaks with normal speed, low pitch and low volume;A female person with low pitch speaks with normal speed and low volume;A female speaks in low pitch with normal speed and low volume;A female voice with low pitch, normal speed and low volume is speaking;A female with a low-pitched voice and normal speed speaks at a low volume;A female with a low-pitched voice and normal speed speaks in a low volume;A female with low pitch and low volume speaks at a normal speed;A female with low pitch and normal speed speaks with low decibel level;A female with low pitch and normal speed speaks with low volume;A female with low volume speaks with normal pitch and speed;A low-pitched female voice speaks with normal speed and low volume;A low-pitched female with normal speaking speed speaks with low volume;A woman speaks with low pitch, normal speaking speed and low volume;A woman with low pitch and normal speed speaks with low amplitude;A woman with low pitch and normal speed speaks with low energy;A woman with low pitch and normal speed speaks with low intensity;A woman with low pitch speaks with normal speed and low volume;A woman with low volume speaks in low pitch and normal speed;A woman with normal speed and low volume speaks in low pitch;A woman's voice is speaking with low pitch, normal speed and low volume;Ask a woman to speak with low pitch, normal speed and low volume;Let a female person speak with normal speed, low pitch and low volume
+F_p-low_s-normal_e-normal| let a woman speak with low pitch, normal speed and normal volume;A low-pitched female speaks with normal speed and normal power;Ask a low-pitched female to speak with normal speaking speed and normal energy;Converse with her in a low pitch, normal speed and normal power;Let a woman speak with low pitch, normal speed and normal volume;She articulated with her low pitch, normal speed and normal volume;She communicated with her low pitch, normal speed and normal volume;She expressed herself with her low pitch, normal speed and normal volume;She said in her normal speaking speed with low pitch and normal power;She said with her low pitch with normal talking speed and normal volume;She speaks with low pitch and normal speed;She speaks with low pitch and normal volume;She speaks with low pitch, normal speed and normal power;She speaks with low pitch, normal speed and normal volume;She speaks with normal speed and low pitch;She speaks with normal volume and low pitch;She spoke with a low pitch and normal speed;She spoke with a low pitch, normal speed and normal volume;She spoke with a low-pitched voice, normal speed and normal volume;She spoke with her low pitch, normal speed and normal volume;She spoke with her normal speaking speed, low pitch and normal power;She spoke with low pitch and normal energy;She spoke with low pitch and normal speaking speed;She spoke with low pitch and normal volume;She spoke with low pitch, normal power and normal speed;She spoke with low pitch, normal speed and normal power;She spoke with normal energy and low pitch;She spoke with normal speaking speed and low pitch;She spoke with normal speed and low pitch;She spoke with normal speed and normal volume, with a low pitch;She spoke with normal speed, low pitch and normal power;She spoke with normal speed, normal power and low pitch;She spoke with normal volume and low pitch;She talked with her low pitch, normal speed and normal volume;She talks normally with low pitch and normal speaking speed;She talks with low pitch and normal speed;She talks with low pitch and normal volume;She talks with normal speed and low pitch;She talks with normal volume and low pitch;Speak with her low pitch, normal speed and normal power;Talk to her with low pitch, normal speed and normal power;Talk with her low pitch, normal speed and normal power;ask a low-pitched female to speak with normal speaking speed and normal energy
+F_p-low_s-normal_e-high|A low-pitched woman speaks loudly with normal speed and high volume;A low-pitched woman speaks with high volume and normal speaking rate;A low-pitched woman speaks with high volume and normal speed;A low-pitched woman speaks with normal speaking speed and high volume;A low-pitched woman speaks with normal speed and high energy;A low-pitched woman speaks with normal speed and high volume;A woman speaks in low pitch and high volume and normal speaking rate;A woman speaks in low pitch and high volume, normal speed;A woman speaks in low pitch and high volume, with a normal speaking rate;A woman speaks in low pitch and high volume, with normal speaking rate;A woman speaks with a low pitch, high volume, and normal speaking rate;A woman speaks with her low pitch, high volume, and normal speed;A woman speaks with low pitch and high volume, normal speed;A woman speaks with low pitch, high volume, and normal speaking rate;A woman speaks with low pitch, high volume, and normal speed;A woman with a low pitch speaks with normal speed and high volume;A woman with a low voice speaks with normal speed and high volume;A woman with a low-pitched voice speaks loudly with normal speed;A woman with a low-pitched voice speaks with normal speed and high volume;A woman with low pitch speaks at normal speed and high energy;A woman with low pitch speaks with high energy and normal speed;A woman with low pitch speaks with high volume and normal speed;A woman with low pitch speaks with normal speed and high energy;A woman with low pitch speaks with normal speed and high volume;Ask a low-pitched woman to speak loudly with normal speed;Can I inquire about a woman speaking in a low pitch, high volume and normal talking speed?;Can I request a woman to articulate words in a low pitch, high volume and normal talking speed?;Can I request a woman to speak in a low pitch, high volume and normal talking speed?;Is it possible to ask a woman to speak in a low pitch, high volume and normal talking speed?;May i ask a woman to speak in low pitch, high volume and normal talking speed;Would it be appropriate to ask a woman to speak in a low pitch, high volume and normal talking speed?;a low-pitched woman speaks with normal speaking speed and high volume;a woman speaks with low pitch, normal speaking speed and high energy;ask a low-pitched woman to say something loudly with normal speaking speed
+F_p-low_s-fast_e-low| a low-pitched woman speaks with fast speaking speed and low volume; ask a woman quickly with low pitch and low power;A woman speaks quickly with a low pitch and low energy;A woman speaks with a low pitch and low energy, speaking quickly;A woman speaks with a low pitch, speaking quickly and with low energy;A woman with a low pitch and fast speaking speed speaks with low energy;A woman with a low pitch and fast speaking speed speaks with low energy and low volume;A woman with a low pitch and fast speaking speed speaks with low volume and low energy;A woman with a low pitch and low energy speaks fast;A woman with a low pitch and low energy speaks quickly;A woman with a low pitch and low volume speaks rapidly;A woman with a low pitch speaks quickly and with low energy;A woman with a low-pitched voice speaks fast and with low energy;A woman with a low-pitched voice speaks fast and with low volume;A woman with a low-pitched voice speaks quickly and with low energy;A woman with a low-pitched voice speaks quickly and with low power;A woman with a low-pitched voice speaks quickly and with low volume;Let a woman with a low pitch and fast speaking speed speak with low energy;Let a woman with a low pitch and fast speaking speed speak with low volume and low energy;a woman speaks fast with low pitch and low energy;a woman speaks rapidly with a low pitch and low volume;a woman speaks with a low pitch and low volume, but quickly;ask a woman to speak with a low pitch and low volume, but quickly;ask a woman with small volume but a low pitch and fast speaking speed;let a woman speak with a low pitch and low volume, but quickly;let a woman speaks with low pitch, fast speed and low energy
+F_p-low_s-fast_e-normal| ask a low-pitched woman speaks fast with normal volume;A female person should speak with a low pitch, fast speaking speed and normal energy;A female person should speak with low pitch, fast speaking speed and normal energy;A female person should speak with low pitch, fast speaking speed and normal volume;A female person should speak with low pitch, fast talking speed and normal energy;A female person should speak with low pitch, fast talking speed and normal energy level;A female with a low pitch speaks fast with normal loudness;A female with low pitch voice speaks quickly with normal volume;A low-pitched woman speaks fast with normal volume;A woman with a low-pitched voice speaks quickly with normal decibel level;A woman with a low-pitched voice speaks rapidly with normal intensity;Ask a female person to speak with low pitch, fast speaking speed and normal volume;Her voice is characterized by a fast tempo and low pitch, with normal volume;Her voice is fast and low pitch with normal volume;She speaks in a low pitch with fast talking speed and normal power;She speaks in a low pitch, fast talking speed and normal power;She speaks in low pitch with fast talking speed and normal power;She speaks in low pitch with fast talking speed and normal volume;She speaks in low pitch with fast talking speed with normal power;She speaks in low pitch, fast talking speed and normal power;She speaks in low pitch, fast talking speed, and normal power;ask a female person to speak with low pitch, fast speaking speed and normal energy
+F_p-low_s-fast_e-high|A woman speaks with a low pitch, fast speaking speed and high volume;A woman speaks with a low pitch, fast speaking speed, and high volume;A woman speaks with low pitch and fast speaking speed;A woman speaks with low pitch and high energy;A woman speaks with low pitch and high volume;A woman speaks with low pitch, fast speaking speed and high volume;A woman uses a low pitch and fast speaking speed;A woman uses a low pitch and fast speaking speed and say loudly;A woman uses a low pitch and fast speaking speed and says loudly;A woman uses a low pitch and fast speaking speed and speaks loudly;A woman uses a low pitch and high energy;A woman with a low-pitched voice speaks quickly and with high intensity;A woman with a low-pitched voice speaks quickly and with high volume;A woman with a low-pitched voice speaks rapidly and loudly;A woman with a low-pitched voice speaks rapidly and with great volume;A woman with a low-pitched voice speaks rapidly and with high energy;Ask a woman to speak fast with a low pitch and high energy;Ask a woman to speak fast with low pitch and high energy;Ask a woman to speak quickly with a low pitch and high energy;Please ask a woman to speak quickly with a low pitch and high energy;Please ask a woman to speak quickly with low pitch and high energy;This low-pitched woman speaks quickly with high volume;ask a woman to speak fast with low pitch and high energy;please ask a woman to speak quickly with low pitch and high energy;this low-pitched woman speaks quickly with high volume
+F_p-normal_s-slow_e-low| let a woman speak slowly with low volume and normal pitch;ask a female person to speak slowly with low volume and normal pitch;ask a female person to speak slowly with normal pitch and low volume;ask a woman to speak slowly with low volume and normal pitch;ask a woman to speak slowly with normal pitch and low volume;ask a woman to speak with low volume and normal pitch, but slow speed;ask a woman to speak with normal pitch and low volume, but slow speed;ask a woman to speak with normal pitch but low volume and slow speed;ask a woman to speak with normal pitch, low volume and slow speaking speed;ask a woman to speak with normal pitch, low volume and slow speed;ask a woman to speak with normal pitch, slow speaking speed and low energy;ask a woman to speak with normal pitch, slow speed and low volume;ask a woman with normal pitch but low volume and slow speaking speed;ask a woman with normal pitch to speak with low volume and slow articulation;ask a woman with normal pitch to speak with low volume and slow speaking rate;ask a woman with normal pitch to speak with low volume and slow speaking speed;ask a woman with normal pitch to speak with low volume and slow speech;ask a woman with normal pitch to speak with low volume and slow talking speed;ask a woman with normal pitch to speake with low volume and slow speaking speed;let a woman speak slowly with low volume and normal pitch
+F_p-normal_s-slow_e-normal| ask a woman to speak with normal pitch, normal energy and slow talking speed;Ask a female to speak with normal pitch and standard volume, despite her slow articulation speed;Ask a female to speak with normal pitch and standard volume, despite her slow rate of speech;Ask a female to speak with normal pitch and standard volume, despite her slow speaking speed;Ask a female to speak with normal pitch and standard volume, despite her slow speech rate;Ask a female to speak with normal pitch and standard volume, despite her slow talking pace;Ask a woman to speak with normal pitch and slow speaking speed and normal energy;Ask a woman to speak with normal pitch and slow speaking speed, normal energy;Ask a woman to speak with normal pitch, normal energy and slow talking speed;Ask a woman to speak with normal pitch, normal energy, slow speaking speed;Ask a woman to speak with normal pitch, slow speaking speed and normal energy;Ask a woman to speak with normal pitch, slow speaking speed, normal energy;Ask a woman to speak with normal pitch, slow talking speed and normal energy;Ask a woman to speak with slow talking speed, normal pitch and normal energy;She speaks slowly with normal power and standard pitch;She speaks slowly, with normal pitch and normal volume;She talks slowly, with normal pitch and normal volume;ask a slow speaking female to speak with normal pitch and standard volume;ask a woman to speak with normal pitch and slow speaking speed and normal energy
+F_p-normal_s-slow_e-high|A female person speaks slowly and loudly with standard pitch;A female speaks slowly and loudly with standard pitch;A female speaks slowly and loudly with standard pitch, let her;Ask a female person to speak slowly and loudly with normal pitch;Ask a female to speak slowly and loudly with normal pitch;Ask a female to speak slowly and loudly with standard pitch;Ask a female to speak slowly with high volume and normal pitch;Ask a female to speak slowly with normal pitch and high volume;Ask a female to speak slowly with normal pitch and large volume;Ask a female to speak slowly, with normal pitch and loudly;Ask a female to speak with normal pitch, slow speaking speed and high volume;Ask a female to speak with normal pitch, slow speed and high volume;Ask a woman to speak slowly with normal pitch and high volume;Ask a woman to speak with normal pitch, slow speaking speed and high energy;Command a woman to speak with normal pitch, slow speaking speed and high energy;Let a female person speak slowly with normal pitch and high energy;Let a female person to speak slowly with normal pitch and high volume;Let a female to speak slowly with high volume and normal pitch;Let a woman speak slowly and loudly with normal pitch;Let a woman speak slowly and loudly with standard pitch;Let a woman speak slowly and with normal pitch, but loudly;Let a woman speak slowly with high volume and normal pitch;Let a woman speak slowly with normal pitch and high volume;Let a woman speak slowly, with normal pitch and high volume;Let a woman speak with normal pitch, slow speaking speed and high energy;Let a woman to speak slowly with normal pitch and high volume;Let us ask a woman to speak slowly but with loud voice with normal pitch;Request a female to speak slowly with normal pitch and loud volume;Request a woman to speak with normal pitch, slow speaking speed and high energy;Tell a woman to speak with normal pitch, slow speaking speed and high energy;ask a female person to talk in normal pitch, slow talking speed and high volume;ask a female to speak slowly with normal pitch and large volume;ask a woman to speak with normal pitch, slow speaking speed and high energy;let a woman to speak slowly with high volume and normal pitch;let us ask a woman to speak slowly but with loud voice with normal pitch
+F_p-normal_s-normal_e-low|Ask a woman to speak with normal pitch, low volume, and normal speaking speed;Ask her to speak with normal pitch, low volume and normal speaking speed;She speaks with normal pitch, low volume and normal speaking speed;She speaks with normal pitch, low volume, and normal speaking speed;She speaks with normal pitch, low volume, and normal speaking speed, as requested;She speaks with standard pitch and normal speaking speed but with a low volume;ask a female person to speak with normal pitch, low volume and normal speaking speed;ask a woman to speak with low volume, normal pitch and normal speaking speed;ask a woman to speak with low volume, normal pitch and normal speed;ask a woman to speak with normal pitch, low volume and normal speaking speed;ask a woman to speak with normal pitch, normal speed and low energy;ask a woman to speak with normal pitch, normal speed and low volume;low volume, but her pitch is normal and she speaks with standard speed;low volume, but her speaking speed is the same as ordinary people with standard pitch;low volume, but her speech is at the same pace as regular people with standard pitch;low volume, but her speech is at the same rate as typical individuals with standard pitch;low volume, but her speed is no different from ordinary people and she speaks with normal pitch;low volume, but her speed is normal and she speaks with standard pitch;low volume, but she speaks at the same rate as typical individuals with standard pitch;low volume, but she speaks the same speed as ordinary people with normal pitch;low volume, but she speaks with normal pitch and low speed;low volume, but she speaks with normal pitch and normal speed;low volume, but she speaks with standard pitch and normal speed;low volume, but she speaks with the same pace as regular people with standard pitch
+F_p-normal_s-normal_e-normal|Ask a ordinary woman to talk to me;Ask a woman to speak with normal pitch, normal speaking speed and standard volume;Ask a woman to speak with normal pitch, speaking speed and standard volume;Ask a woman to speak with standard pitch, speaking speed and energy;Ask a woman to talk in a normal speaking style, with a normal pitch, speed, and energy;Ask a woman to talk in a normal speaking style, with normal pitch, speed, and energy;Ask a woman to talk in normal speaking style, with normal pitch, speed, and energy;Ask a woman to talk to me with normal pitch, normal speaking speed and standard volume;Ask a woman to talk with a normal speaking speed, pitch and volume;Ask a woman to talk with normal pitch, normal speaking speed and standard volume;Ask a woman to talk with normal pitch, speaking speed and energy;Ask a woman to talk with normal speaking speed, pitch and volume;Let a woman speak with standard pitch, speaking speed and energy;Let a woman speaks with standard pitch, speaking speed and energy;ask a woman to talk with normal speaking speed, pitch and volume;let a woman speaks with standard pitch, speaking speed and energy
+F_p-normal_s-normal_e-high|Ask a woman to speak with a loud voice, normal pitch and normal speaking speed;Ask a woman with a loud voice to speak with normal pitch and standard talking speed;Command a woman with a loud voice to speak with normal pitch and standard talking speed;I need a woman who speaks with a loud voice, normal pitch and normal speaking speed;I want a woman speaking with a loud voice, lormal pitch and normal speaking speed;I want a woman with a loud voice, normal pitch and normal speaking speed;I'm looking for a woman who speaks with a loud voice, normal pitch and normal speaking speed;Instruct a woman with a loud voice to speak with normal pitch and standard talking speed;Request a woman with a loud voice to speak with normal pitch and standard talking speed;Request a woman with a loud voice, normal pitch and normal speaking speed;Tell a woman with a loud voice to speak with normal pitch and standard talking speed;ask a female to speak with a loud voice, normal pitch and standard speaking speed;ask a female to speak with normal pitch, normal speaking speed and a lot of energy;ask a female to speak with normal pitch, normal speaking speed and enthusiasm;ask a female to speak with normal pitch, normal speaking speed and high energy;ask a female to speak with normal pitch, normal speaking speed and liveliness;ask a female to speak with normal pitch, normal speaking speed and vitality;ask a woman speaks loudly with normal pitch and standard speaking speed;ask a woman to speak with a loud voice, normal pitch and standard talking speed;ask a woman with a loud voice to speak normally with normal pitch and standard talking speed;request a female to speak with normal pitch, normal speaking speed and high energy;request a woman to speak loudly with normal pitch and standard speaking speed;tell a woman to speak loudly with normal pitch and standard speaking speed
+F_p-normal_s-fast_e-low|A female person speaks quickly with normal pitch and low power;A female speaker speaks quickly with normal pitch and low power;A female voice speaks quickly with normal pitch and low power;A woman speaks with normal pitch and low power, speaking quickly;A woman's voice speaks quickly with normal pitch and low power;a woman speaks quickly with normal pitch and low power;ask a female person to speak with normal pitch, fast speaking speed and low energy;ask a female to articulate words with normal pitch, fast speed and low intensity;ask a female to speak with a fast rate, normal pitch and low energy;ask a female to speak with a quick delivery, normal pitch and low energy;ask a female to speak with a quick pace, normal pitch and low energy;ask a female to speak with fast speaking speed, normal pitch and low energy;ask a woman to articulate words with normal pitch, fast tempo and low volume level;ask a woman to speak fast with normal pitch and low volume;ask a woman to speak with normal pitch, fast pace and low decibel;ask a woman to speak with normal pitch, fast speaking speed and low volume;request a female to speak with a fast speaking speed, normal pitch and low energy;request a female to speak with a fast tempo, normal pitch and low energy;request a female to speak with normal pitch, fast rate and low amplitude;request a woman to speak quickly with normal pitch and low volume
+F_p-normal_s-fast_e-normal| this woman speaks with normal power, fast talking speed and normal pitch;Ask a female to speak quickly with normal pitch and normal energy;Ask a female to speak quickly with normal pitch and normal volume;Normal pitch, this woman speaks fast with normal volume;Normal pitch, this woman speaks quickly with standard volume;She speaks with normal pitch and fast speaking speed, but with normal volume;This woman speaks quickly with normal pitch and normal volume;This woman speaks with normal pitch and fast talking speed, but with normal volume;ask a female to speak quickly with normal pitch and normal energy;normal pitch, this woman speaks fast with normal volume;normal pitch, this woman speaks quickly with normal volume;normal pitch, this woman speaks quickly with standard loudness;normal pitch, this woman speaks quickly with standard volume;this woman speaks quickly with normal pitch and normal loudness;this woman speaks quickly with normal pitch and normal volume;this woman speaks quickly with normal pitch and standard volume;this woman speaks quickly with normal pitch and volume;this woman speaks with normal pitch and fast speed;this woman speaks with normal pitch and fast talking speed;this woman speaks with normal power, fast talking speed and normal pitch;this woman speaks with normal volume and fast speaking speed
+F_p-normal_s-fast_e-high|Ask a woman to speak fast with normal pitch and high energy;Ask a woman to speak fast with normal pitch and high volume;Ask a woman to speak quickly with normal pitch and high volume;Her pitch is normal, but the speed is fast, and the sound is loud;Her pitch is normal, but the speed of speech is fast, and the sound is loud;Her pitch is normal, but the speed of speech is fast, and the volume is loud;Her pitch is normal, but the speed of speech is fast, but the sound is loud;Her voice is loud, but the speed of speech is fast, and pitch is normal;Her voice is loud, but the speed of speech is fast, and the pitch is normal;Let a woman speak with normal pitch, fast speaking speed and high energy;Let a woman speak with normal pitch, fast speaking speed, and high energy;Let a woman speak with normal pitch, fast speaking speed, and high volume;ask a woman speaks quickly with normal pitch and high energy;ask a woman to speak fast with normal pitch and high volume;let a woman speak with normal pitch, fast speaking speed and high energy
+F_p-high_s-slow_e-low| let a female person speak with high pitch, slow speaking speed and low volume;A female person should speak slowly, with a high-pitched voice, and low volume;A female person should speak with a high-pitched voice, slow speed, and low volume;A woman speaks slowly, with a high-pitched voice and low volume;A woman speaks slowly, with a high-pitched voice, and low energy;A woman talks in slow speaking speed, high pitch, and low energy;A woman's speech is slow, her voice is high-pitched, and her volume is low;Ask a woman to speak slowly with high pitch and low energy;Ask a woman to speak slowly, with a high-pitched voice, and low energy;Ask a woman to speak slowly, with a high-pitched voice, and low volume;Let a female person speak slowly, with a high-pitched voice, and low energy;Let a female person speak slowly, with a high-pitched voice, and low volume;Let a female person speak with high pitch, slow speaking speed and low volume;Let a woman speak slowly, with a high-pitched voice and low volume;She speaks slowly in high pitch with low volume;She speaks slowly, with a high-pitched voice and low volume;She speaks slowly, with a high-pitched voice, and her energy is low;She speaks slowly, with a high-pitched voice, and low volume;The slow speaking speed of the woman is accompanied by a high-pitched voice and a low volume;The speaking speed of this woman is slow, but her voice is high-pitched and her sound is in low volume;The speaking speed of woman is slow, but her voice is high-pitched and her sound is in low volume;The woman speaks slowly, with a high-pitched voice and low volume;The woman's high-pitched voice and low volume are balanced by her slow speaking speed;The woman's low volume and high-pitched voice are complemented by her slow speaking speed;The woman's slow speaking speed is contrasted by her high-pitched voice and low volume;The woman's voice is high-pitched and her sound is in low volume, but her speaking speed is slow;This woman speaks in a low volume, her speech is slow, but her voice is high-pitched;This woman speaks in a low volume, her speech is slow, but her voice was high pitched;This woman speaks slowly, with a high-pitched voice and low volume;This woman speaks slowly, with a high-pitched voice, and at a low volume;This woman's speech is slow, her voice is high-pitched, and her energy is low;a woman talks in slow speaking speed, high pitch, and low energy;ask a woman to speak slowly with high pitch and low energy
+F_p-high_s-slow_e-normal|A woman speaks with high pitch, slow talking speed and normal power;A woman speaks with high pitch, slow talking speed and normal volume;A woman speaks with high pitch, slow talking speed, and normal volume;A woman's pitch is high, her volume is normal, and her speed is slow;Ask a woman to speak slowly with high pitch and normal energy;Ask a woman to speak slowly with high pitch and normal volume;Her pitch is high, the volume is normal, and she speaks slowly;Her pitch is high, the volume is normal, and the speed is slow;Her pitch is high, the volume is normal, but she speaks slowly;She has a normal volume, but she speaks slowly, her pitch is high;She speaks slowly, her pitch is high, and the volume is normal;She speaks slowly, her pitch is high, but the volume is normal;The volume is normal, but she speaks slowly, her pitch is high;The volume is normal, her pitch is high, and she speaks slowly;The woman's pitch is high, her volume is normal, and her speed is slow;a woman speaks with high pitch, slow talking speed and normal power;ask a woman to speak slowly with high pitch and normal energy;ask a woman to speak slowly with normal volume and high pitch
+F_p-high_s-slow_e-high|ask a high-pitched female to speak slowly but loudly;A high-pitched woman speaks slowly and loudly;A lady speaks slowly and loudly with a high pitch;A woman talks loudly with a high pitch and slow speaking speed;A woman with a high-pitched voice speaks slowly and loudly;Ask a woman with a high-pitched voice to speak slowly and loudly;Ask a woman with a high-pitched voice to speak slowly and with a high volume;Request a woman with a high-pitched voice to speak slowly and at a high volume;Tell a woman with a high-pitched voice to speak slowly and loudly;Tell a woman with a high-pitched voice to speak slowly and with a high volume;The lady speaks loudly with a high pitch and the slow speaking speed;The lady speaks slowly and loudly with a high pitch;ask a high-pitched female to speak slowly and loudly;ask a high-pitched female to speak slowly and loudly with high volume;ask a high-pitched woman to speak slowly and loudly;ask a high-pitched woman to speak slowly with high volume;ask a lady to speak slowly and loudly with a high pitch;ask a lady to talk loudly at a high pitch and slow speaking speed;ask a woman to speak slowly and loudly with a high pitch;ask a woman to speak slowly with a high pitch and high volume;ask a woman to speak with a high pitch and loud volume;ask a woman to speak with a high pitch and slow speaking speed;ask a woman to speak with a high pitch and slow speed;ask a woman to speak with high pitch, slow speaking speed and high power;ask a woman to speak with high volume and a high pitch;ask a woman to talk in slow speaking speed with high pitch and high volume
+F_p-high_s-normal_e-low| ask a high-pitched female to speak with normal speed and low power; ask a woman to speak with high pitch, normal speaking speed and low energy;A female with a high-pitched voice speaks at a normal speed and low volume;A female with a high-pitched voice speaks at normal speed and low power;A lady with a high-pitched voice speaks at normal speed and low volume;A woman's voice is in high pitch, normal speed and low energy;A woman's voice is in high pitch, normal speed and low power;A woman's voice is in high pitch, normal speed and low volume;A woman's voice is in low volume, but the pitch is high and speed is normal;Ask a female to speak with low volume, normal talking speed and high pitch;Ask a high-pitched female to speak with normal speed and low power;Ask a lady to speak with low volume, normal talking speed and high pitch;Ask a woman to speak with high pitch, normal speaking speed and low energy;Ask a woman to speak with high pitch, normal speaking speed and low volume;Ask a woman to speak with high pitch, normal speed and low energy;Ask a woman to speak with low volume, normal talking speed and high pitch;She speaks in a high pitch with normal speed and low volume;She speaks in high pitch with normal speed and low energy;She speaks in high pitch with normal speed and low volume;ask a lady to speak with low volume, normal talking speed and high pitch
+F_p-high_s-normal_e-normal|A female person speaks in high pitch with normal speed and standard volume;A female person speaks in high pitch with standard speaking speed and normal power;A female person speaks with high pitch and normal speed;A female person speaks with high pitch, normal speed, and standard volume;A female person speaks with normal volume and high pitch;A female speaks in high pitch with normal volume and standard speed;A female speaks normally in high pitch;A female voice is characterized by high pitch, normal speed, and standard volume;A female voice speaks in high pitch with standard speaking speed and normal power;A female with a high-pitched voice speaks at a normal speed and with standard energy;A female with a high-pitched voice speaks with normal power and ordinary speed;A female's voice is often described as having high pitch, normal speed, and standard volume;A high-pitched female voice speaks with normal speed and standard energy;A high-pitched woman speaks with normal power and ordinary speed;A high-pitched woman speaks with normal speed and standard energy;A woman speaks in high pitch with normal energy and standard speed;A woman speaks in high pitch with normal speaking speed and standard volume;A woman speaks in high pitch with standard speaking speed and normal power;A woman speaks with high pitch, normal speed, and standard volume;A woman speaks with normal speed and high pitch;A woman with a high-pitched voice speaks with normal power and ordinary speed;A woman with a high-pitched voice speaks with normal speed and standard energy;A woman's voice is typically characterized by high pitch, normal speed, and standard volume;A woman's voice speaks in high pitch with standard speaking speed and normal power;She speaks in high pitch with normal speed and standard volume;ask a high-pitched woman to speak with normal power and ordinary speaking speed;ask a high-pitched woman to speak with normal speaking speed and standard energy;let a female person speak with normal volume, normal talking speed and high pitch
+F_p-high_s-normal_e-high| let a female speak with high pitch, normal speed and high energy;A female says with a large volume, high pitch and standard speed;A female speaks loudly with high pitch and normal speed;A female voice with high pitch and loud volume spoke at a normal speed;A female with a high-pitched voice speaks loudly and at a normal speed;A female with a high-pitched voice speaks loudly and with normal speed;A female with a high-pitched voice speaks loudly at a normal speed;A female with a high-pitched voice speaks loudly with normal speed;A female with a high-pitched voice spoke loudly and at a normal pace;A female with a high-pitched voice spoke loudly and at a normal speed;A female with a high-pitched voice spoke loudly and at a standard speed;A female with a loud voice speaks with high pitch and normal speed;A female with high pitch speaks loudly with high energy;A female with high pitch speaks loudly with normal speed;A female with high pitch speaks with normal speed and high energy;A female with high pitch speaks with normal speed and loud volume;A high-pitched female said in a loud voice with normal speaking speed;A high-pitched female speaks in a loud voice with normal speaking speed;A high-pitched female speaks loudly with normal speaking speed;A high-pitched female voice speaks loudly and at a normal speed;A woman with a high-pitched voice speaks loudly and at a normal speed;A woman with a high-pitched voice spoke loudly and at a normal speed;A woman with high-pitched voice speaks loudly with normal speed;Let a female speak with high pitch, normal speed and high energy;She speaks loudly in high pitch with normal speed;ask a high-pitched woman speaks loudly with normal talking speed
+F_p-high_s-fast_e-low|A woman with a high-pitched voice speaks quickly, but her volume is low;A woman with a high-pitched voice speaks quickly, but the volume is not high;A woman with a high-pitched voice speaks quickly, but the volume is not high enough;A woman with a high-pitched voice speaks quickly, but the volume is not loud;A woman with a high-pitched voice speaks quickly, but the volume is not loud enough;Advise a woman with a high-pitched voice to speak quickly and with a low sound level;Ask a woman to speak quickly with a high pitch and low volume;Ask a woman to speak with a high pitch and fast speed, but keep the volume low;Ask a woman to speak with a high pitch and fast speed, but with a low volume;Command a woman to speak with a high pitch and fast pace, but with a low volume output;Command a woman with a high-pitched voice to speak quickly and with a low sound level;Direct a woman to talk with a high-pitched voice and fast speaking speed, but with a low energy level;Direct a woman with a high-pitched voice to speak fast and with a low volume;Instruct a woman to speak in a high pitch and fast manner, but with a low volume output;Instruct a woman to speak with high pitch, fast speed and low volume;Instruct a woman with a high-pitched voice to speak rapidly and at a low volume;Let a female with a high-pitched voice speak fast and with low volume;Let a woman with a high pitch speak fast but the sound volume is not high;Let a woman with a high-pitched voice speak quickly and quietly;Request a woman to speak in high pitch and fast speed with low volume;Request a woman to talk with a high-pitched voice and fast pace, but with a low energy level;Request a woman with a high-pitched voice to speak quickly and quietly;She speaks with a high pitch and fast speaking speed, but the volume is low;She speaks with a high-pitched voice, fast speed, and low volume;She speaks with high pitch and fast speaking speed and low volume;Tell a female to speak quickly with a high pitch and low energy;ask a high-pitched woman to speak fast with low volume;ask a woman to talk in high pitch, fast speaking speed and low energy;let a female speak quickly with high pitch and low power
+F_p-high_s-fast_e-normal|A female with a high-pitched voice speaking fast and at a normal volume;A female with a high-pitched voice speaking quickly and at a normal volume;A high-pitched female voice speaking quickly and at a normal volume;A high-pitched female voice speaks quickly at a normal volume;A high-pitched female voice speaks quickly with a normal volume level;A high-pitched female voice speaks quickly with normal volume;A high-pitched female voice with a fast speaking speed and normal volume;A woman with a high-pitched voice speaking quickly and at a normal volume;A woman with a high-pitched voice speaks fast with a normal volume;A woman with a high-pitched voice speaks fast with normal volume;a high-pitched woman speaks fast with normal volume;a high-pitched woman, fast speaking speed, normal volume;a quick speaking speed and high pitch sound, normal volume, woman;a quick speaking speed, high pitch, normal volume, woman;ask a female to speak with high pitch, fast speed and normal volume;ask a female to speak with high pitch, fast talking and normal energy;ask a female to speak with high pitch, fast talking and normal volume;ask a female to speak with high pitch, fast talking speed and normal volume;ask a female to speak with high pitch, quick speed and normal volume;ask a high-pitched lady to speak fast with normal volume;ask a woman to speak quickly with high pitch and normal energy;ask a woman to speak quickly with high pitch and normal volume;fast speed, high pitch, normal volume, female;fast talking speed, high pitch, normal volume, female;high pitch, fast speaking speed, normal volume, female;high pitch, fast speed, normal volume female;high pitch, fast speed, normal volume, female;high pitch, fast speed, normal volume, woman
+F_p-high_s-fast_e-high| let a woman speak with high pitch, fast speaking speed and high volume;Ask a high-pitched woman to speak fast with high energy;Ask a high-pitched woman to speak quickly with large volume;Ask a high-pitched woman with a loud voice to speak quickly;Ask a high-pithced woman with a loud voice to speak quickly;Ask a woman with a loud voice to say quickly, her pitch is high;Ask a woman with a loud voice to speak quickly, her pitch is high;Let a high-pitched female person talk in fast speaking speed, high pitch and high volume;Let a woman speak with high pitch, fast speaking speed and high volume;ask a high-pitched woman to speak fast with high energy;ask a high-pitched woman to speak quckly with large volume;ask a woman with a loud voice to say quickly, her pitch is high;let a high-pitched female person talk in fast speaking speed, high pitch and high volume