VITS checkpoint trained on Hi-Fi TTS
#1
by
zyingt
- opened
- README.md +43 -0
- args.json +239 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/model.safetensors +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/model_1.safetensors +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/optimizer.bin +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/optimizer_1.bin +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/random_states_0.pkl +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/scheduler.bin +3 -0
- checkpoint/epoch-0030_step-0312356_loss-38.448391/scheduler_1.bin +3 -0
- spk2id.json +12 -0
- symbols.dict +83 -0
README.md
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---
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license: mit
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---
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license: mit
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language:
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- en
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# Amphion Multi-Speaker TTS Pre-trained Model
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## Quick Start
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We provide the pre-trained checkpoint of [VITS](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS), trained on [Hi-fi TTS](https://www.openslr.org/109/), which consists of a total of 291.6 hours audio contributed by 10 speakers, on an average of 17 hours per speaker.
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To utilize the pre-trained model, run the following commands:
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### Step1: Download the checkpoint
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```bash
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git lfs install
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git clone https://huggingface.co/amphion/vits_hifitts
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```
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### Step2: Clone the Amphion's Source Code of GitHub
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```bash
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git clone https://github.com/open-mmlab/Amphion.git
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```
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### Step3: Specify the checkpoint's path
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Use the soft link to specify the downloaded checkpoint in the first step:
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```bash
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cd Amphion
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mkdir -p ckpts/tts
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ln -s ../../../vits_hifitts ckpts/tts/
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```
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### Step4: Inference
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You can follow the inference part of this [recipe](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/VITS#4-inference) to generate speech from text. For example, if you want to synthesize a clip of speech with the text of "This is a clip of generated speech with the given text from a TTS model.", just, run:
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```bash
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sh egs/tts/VITS/run.sh --stage 3 --gpu "0" \
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--config ckpts/tts/vits_hifitts/args.json \
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--infer_expt_dir ckpts/tts/vits_hifitts/ \
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--infer_output_dir ckpts/tts/vits_hifitts/result \
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--infer_mode "single" \
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--infer_text "This is a clip of generated speech with the given text from a TTS model." \
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--infer_speaker_name "hifitts_92"
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```
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**Note**: The supported `infer_speaker_name` values can be seen [here](https://huggingface.co/amphion/vits_hifitts/tree/main/spk2id.json).
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args.json
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{
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"base_config": "config/vits.json",
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"dataset": [
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"hifitts",
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],
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"model": {
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"filter_channels": 768,
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"gin_channels": 256,
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"hidden_channels": 192,
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"inter_channels": 192,
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"kernel_size": 3,
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"n_heads": 2,
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"n_layers": 6,
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"n_layers_q": 3,
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"n_speakers": 10,
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"p_dropout": 0.1,
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"resblock": "1",
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"resblock_dilation_sizes": [
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[
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1,
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3,
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],
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[
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1,
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],
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[
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5,
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],
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],
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"resblock_kernel_sizes": [
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3,
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7,
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11,
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],
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"text_token_num": 512,
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"upsample_initial_channel": 512,
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"upsample_kernel_sizes": [
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16,
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16,
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4,
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4,
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],
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"upsample_rates": [
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8,
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8,
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2,
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2,
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],
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"use_sdp": true,
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"use_spectral_norm": false,
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},
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"model_type": "VITS",
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"preprocess": {
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"add_blank": true,
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"align_mel_duration": false,
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"audio_dir": "audios",
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"bits": 8,
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"contentvec_dir": "contentvec",
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"data_augment": false,
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"dur_dir": "durs",
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"duration_dir": "duration",
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"emo2id": "emo2id.json",
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"energy_dir": "energys",
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"energy_extract_mode": "from_mel",
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"energy_norm": false,
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"energy_remove_outlier": false,
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"extract_acoustic_token": false,
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"extract_amplitude_phase": false,
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"extract_audio": true,
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"extract_contentvec_feature": false,
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"extract_duration": false,
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"extract_energy": false,
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"extract_label": false,
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"extract_linear_spec": true,
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"extract_mcep": false,
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"extract_mel": true,
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"extract_mert_feature": false,
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"extract_phone": true,
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"extract_pitch": false,
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"extract_uv": false,
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"extract_wenet_feature": false,
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"extract_whisper_feature": false,
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"file_lst": "file.lst",
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"fmax": null,
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"fmin": 0,
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"hop_size": 256,
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"imaginary_dir": "imaginarys",
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"lab_dir": "labs",
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"label_dir": "labels",
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"language": "en-us",
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"lexicon_path": "./text/lexicon/librispeech-lexicon.txt",
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"linear_dir": "linears",
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"log_amplitude_dir": "log_amplitudes",
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"mcep_dir": "mcep",
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"mel_dir": "mels",
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"mel_extract_mode": "",
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"mel_min_max_norm": false,
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"min_level_db": -115,
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"n_fft": 1024,
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"n_mel": 80,
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"num_silent_frames": 8,
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"phase_dir": "phases",
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"phone_dir": "phones",
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"phone_energy_dir": "phone_energys",
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"phone_extractor": "espeak",
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"phone_pitch_dir": "phone_pitches",
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"phone_seq_file": "phone_seq_file",
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"pitch_dir": "pitches",
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"pitch_extractor": "parselmouth",
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"pitch_norm": false,
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"pitch_remove_outlier": false,
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"raw_data": "raw_data",
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"real_dir": "reals",
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"ref_level_db": 20,
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"sample_rate": 24000,
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"segment_size": 8192,
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"spk2id": "spk2id.json",
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"symbols_dict": "symbols.dict",
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"text_cleaners": [
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"english_cleaners",
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],
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"train_file": "train.json",
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"trim_fft_size": 512,
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"trim_hop_size": 128,
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"trim_silence": false,
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"trim_top_db": 30,
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"trimmed_wav_dir": "trimmed_wavs",
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"use_amplitude_phase": false,
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"use_audio": true,
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"use_dur": false,
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"use_emoid": false,
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"use_frame_duration": false,
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"use_frame_energy": false,
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"use_frame_pitch": false,
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"use_lab": false,
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"use_label": false,
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"use_linear": true,
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"use_log_scale_energy": false,
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"use_log_scale_pitch": false,
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"use_mel": true,
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"use_min_max_norm_mel": false,
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"use_one_hot": false,
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"use_phn_seq": false,
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"use_phone": true,
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"use_phone_duration": false,
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"use_phone_energy": false,
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"use_phone_pitch": false,
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"use_spkid": true,
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"use_text": false,
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"use_uv": false,
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"use_wav": false,
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"use_wenet": false,
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"utt2emo": "utt2emo",
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"utt2spk": "utt2spk",
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"uv_dir": "uvs",
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"valid_file": "valid.json",
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"wav_dir": "wavs",
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"wenet_dir": "wenet",
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"win_size": 1024,
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},
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"supported_model_type": [
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"Fastspeech2",
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"VITS",
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"VALLE",
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],
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"task_type": "tts",
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"train": {
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"AdamW": {
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"betas": [
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0.8,
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0.99,
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],
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"eps": 1e-09,
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},
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"adamw": {
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"lr": 0.0004,
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},
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"batch_size": 16,
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"betas": [
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0.8,
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0.99,
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],
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"c_kl": 1.0,
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"c_mel": 45,
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"dataloader": {
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"num_worker": 32,
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"pin_memory": true,
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},
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"ddp": true,
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"eps": 1e-09,
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"fp16_run": true,
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"gradient_accumulation_step": 1,
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"init_lr_ratio": 1,
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+
"keep_checkpoint_max": 5,
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"keep_last": [
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3,
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+
-1,
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],
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+
"learning_rate": 0.0002,
|
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+
"lr_decay": 0.999875,
|
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+
"max_epoch": -1,
|
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+
"max_steps": 1000000,
|
208 |
+
"multi_speaker_training": true,
|
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+
"optimizer": "AdamW",
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+
"random_seed": 10086,
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+
"reducelronplateau": {
|
212 |
+
"factor": 0.8,
|
213 |
+
"min_lr": 0.0001,
|
214 |
+
"patience": 10,
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},
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216 |
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"run_eval": [
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false,
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+
true,
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+
],
|
220 |
+
"sampler": {
|
221 |
+
"drop_last": true,
|
222 |
+
"holistic_shuffle": true,
|
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+
},
|
224 |
+
"save_checkpoint_stride": [
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+
5,
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+
20,
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+
],
|
228 |
+
"save_checkpoints_steps": 10000,
|
229 |
+
"save_summary_steps": 500,
|
230 |
+
"scheduler": "ReduceLROnPlateau",
|
231 |
+
"total_training_steps": 50000,
|
232 |
+
"tracker": [
|
233 |
+
"tensorboard",
|
234 |
+
],
|
235 |
+
"valid_interval": 10000,
|
236 |
+
"warmup_epochs": 0,
|
237 |
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},
|
238 |
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"use_custom_dataset": false,
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}
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checkpoint/epoch-0030_step-0312356_loss-38.448391/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd7ca5a98e57292908a7749488dfa1bee82e1f9cf560ec999906bdb72f03cce4
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size 159044848
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checkpoint/epoch-0030_step-0312356_loss-38.448391/model_1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a35e0287f33fe21c2234fbab466fac8659bfa5759bf5914b873746a42308f916
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size 187000096
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checkpoint/epoch-0030_step-0312356_loss-38.448391/optimizer.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d23f14adfa8137ca14c9a7493556cc00848a169e11dca0b4b8bb182b711760c
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size 318631531
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