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--- |
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language: gl |
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license: apache-2.0 |
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datasets: |
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- CRPIH_UVigo-GL-Voices/Sabela |
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tags: |
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- TTS |
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- speech-synthesis |
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- Galician |
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- female-speaker |
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- VITS |
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- coqui.ai |
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--- |
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# Celtia: Nos Project's Galician TTS Model |
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## Model description |
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This model was trained from scratch using the [Coqui TTS](https://github.com/coqui-ai/TTS) Python library on the corpus [Nos_Celtia-GL](https://zenodo.org/record/7716958). |
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A live inference demo can be found in our official page, [here](https://tts.nos.gal/). |
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This model was trained using graphemes, so no preprocessing is needed for the input text. |
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## Intended uses and limitations |
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You can use this model to generate synthetic speech in Galician. |
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## How to use |
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### Usage |
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Required libraries: |
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```bash |
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pip install TTS |
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``` |
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Synthesize a speech using python: |
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```bash |
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import tempfile |
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import numpy as np |
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import os |
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import json |
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from typing import Optional |
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from TTS.config import load_config |
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from TTS.utils.manage import ModelManager |
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from TTS.utils.synthesizer import Synthesizer |
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model_path = # Absolute path to the model checkpoint.pth |
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config_path = # Absolute path to the model config.json |
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text = "Text to synthetize" |
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synthesizer = Synthesizer( |
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model_path, config_path, None, None, None, None, |
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) |
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wavs = synthesizer.tts(text) |
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``` |
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## Training |
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### Training Procedure |
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### Data preparation |
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### Hyperparameter |
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The model is based on VITS proposed by [Kim et al](https://arxiv.org/abs/2106.06103). The following hyperparameters were set in the coqui framework. |
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| Hyperparameter | Value | |
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|------------------------------------|----------------------------------| |
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| Model | vits | |
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| Batch Size | 26 | |
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| Eval Batch Size | 16 | |
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| Mixed Precision | true | |
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| Window Length | 1024 | |
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| Hop Length | 256 | |
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| FTT size | 1024 | |
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| Num Mels | 80 | |
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| Phonemizer | null | |
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| Phoneme Lenguage | en-us | |
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| Text Cleaners | multilingual_cleaners | |
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| Formatter | nos_fonemas | |
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| Optimizer | adam | |
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| Adam betas | (0.8, 0.99) | |
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| Adam eps | 1e-09 | |
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| Adam weight decay | 0.01 | |
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| Learning Rate Gen | 0.0002 | |
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| Lr. schedurer Gen | ExponentialLR | |
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| Lr. schedurer Gamma Gen | 0.999875 | |
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| Learning Rate Disc | 0.0002 | |
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| Lr. schedurer Disc | ExponentialLR | |
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| Lr. schedurer Gamma Disc | 0.999875 | |
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The model was trained for 457900 steps. |
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The nos_fonemas formatter is a modification of the LJSpeech formatter with one extra column for the normalized input (extended numbers and acronyms). |
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## Additional information |
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### Authors |
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Carmen Magariños |
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### Contact information |
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For further information, send an email to proxecto.nos@usc.gal |
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### Licensing Information |
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[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0) |
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### Funding |
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This research was funded by “The Nós project: Galician in the society and economy of Artificial Intelligence”, resulting from the agreement 2021-CP080 between the Xunta de Galicia and the University of Santiago de Compostela, and thanks to the Investigo program, within the National Recovery, Transformation and Resilience Plan, within the framework of the European Recovery Fund (NextGenerationEU). |
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### Citation information |
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If you use this model, please cite as follows: |
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Magariños, Carmen. 2023. Nos_TTS-celtia-vits-graphemes. URL: https://huggingface.co/proxectonos/Nos_TTS-celtia-vits-graphemes |
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