This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).

Last update: Dec 05, 2022

Overview

Non-autoregressive Deep Learning-Based TTS Template

This is a template for the Non-autoregressive TTS model. It contains

Data Preprocessing Pipeline
Data Loader
Model / Trainer
Logger, Postprocessing (logging, synthesizing, plotting, etc..)

How to use it?

Clone the repository.

git clone https://github.com/keonlee9420/Deep-Learning-TTS-Template
cd Deep-Learning-TTS-Template

Replace all MYMODEL strings in this repo with your model name and also rename the file model/MYMODEL.py.
Build your model on model/ and check train.py and synthesize.py.
Use README_template.md for the README.md file of your project.
Feel free to add /img for your model architecture and tensorboard examples. It would also be nice to show your model's output audio in /demo.
Don't forget to update requirements.txt and /config of your project.

Citation

@misc{lee2021deep_learning_tts_template,
  author = {Lee, Keon},
  title = {Deep-Learning-TTS-Template},
  year = {2021},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/keonlee9420/Deep-Learning-TTS-Template}}
}

References

ming024's FastSpeech2

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This is a template for the Non-autoregressive Deep Learning-Based TTS model (in PyTorch).

Related tags

Overview

Non-autoregressive Deep Learning-Based TTS Template

How to use it?

Citation

References

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Releases(v1.0.0)

v1.0.0(Jun 15, 2021)

Owner

Keon Lee

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