Skip to content

High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.

License

Notifications You must be signed in to change notification settings

mantrakp04/MeloTTS

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

89 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

 

Introduction

MeloTTS is a high-quality multi-lingual text-to-speech library by MyShell.ai. Supported languages include:

Language Example
English (American) Link
English (British) Link
English (Indian) Link
English (Australian) Link
English (Default) Link
Spanish Link
French Link
Chinese (mix EN) Link
Japanese Link
Korean Link

Some other features include:

  • The Chinese speaker supports mixed Chinese and English.
  • Fast enough for CPU real-time inference.

Usage

The Python API and model cards can be found in this repo or on HuggingFace.

Join the Community

Discord

Join our Discord community and select the Developer role upon joining to gain exclusive access to our developer-only channel! Don't miss out on valuable discussions and collaboration opportunities.

Contributing

If you find this work useful, please consider contributing to this repo.

  • Many thanks to @fakerybakery for adding the Web UI and CLI part.

Authors

Citation

@software{zhao2024melo,
  author={Zhao, Wenliang and Yu, Xumin and Qin, Zengyi},
  title = {MeloTTS: High-quality Multi-lingual Multi-accent Text-to-Speech},
  url = {https://github.com/myshell-ai/MeloTTS},
  year = {2023}
}

License

This library is under MIT License, which means it is free for both commercial and non-commercial use.

Acknowledgements

This implementation is based on TTS, VITS, VITS2 and Bert-VITS2. We appreciate their awesome work.

About

High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 98.0%
  • Jupyter Notebook 1.8%
  • Other 0.2%