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https://github.com/myshell-ai/MeloTTS

High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.
https://github.com/myshell-ai/MeloTTS

chinese english french japanese korean multilingual spanish text-to-speech tts

Last synced: 3 months ago
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High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.

Host: GitHub
URL: https://github.com/myshell-ai/MeloTTS
Owner: myshell-ai
License: mit
Created: 2024-02-19T16:49:14.000Z (11 months ago)
Default Branch: main
Last Pushed: 2024-08-09T14:27:28.000Z (6 months ago)
Last Synced: 2024-10-10T14:04:24.454Z (4 months ago)
Topics: chinese, english, french, japanese, korean, multilingual, spanish, text-to-speech, tts
Language: Python
Homepage:
Size: 5.02 MB
Stars: 4,585
Watchers: 40
Forks: 581
Open Issues: 143
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

        


   

   



## Introduction

MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MIT](https://www.mit.edu/) and [MyShell.ai](https://myshell.ai). Supported languages include:

| Language | Example |

| --- | --- |

| English (American)    | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |

| English (British)     | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |

| English (Indian)      | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |

| English (Australian)  | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |

| English (Default)     | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |

| Spanish               | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |

| French                | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |

| Chinese (mix EN)      | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |

| Japanese              | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |

| Korean                | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) |

Some other features include:

- The Chinese speaker supports `mixed Chinese and English`.

- Fast enough for `CPU real-time inference`.

## Usage

- [Use without Installation](docs/quick_use.md)

- [Install and Use Locally](docs/install.md)

- [Training on Custom Dataset](docs/training.md)

The Python API and model cards can be found in [this repo](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#python-api) or on [HuggingFace](https://huggingface.co/myshell-ai).

## Join the Community

**Discord**

Join our [Discord community](https://discord.gg/myshell) 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](https://github.com/fakerybakery) for adding the Web UI and CLI part.

## Authors

- [Wenliang Zhao](https://wl-zhao.github.io) at Tsinghua University

- [Xumin Yu](https://yuxumin.github.io) at Tsinghua University

- [Zengyi Qin](https://www.qinzy.tech) at MIT and MyShell

**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](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), [VITS2](https://github.com/daniilrobnikov/vits2) and [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2). We appreciate their awesome work.