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<div align="center">
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<div> </div>
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<img src="logo.png" width="300"/> <br>
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<a href="https://trendshift.io/repositories/8133" target="_blank"><img src="https://trendshift.io/api/badge/repositories/8133" alt="myshell-ai%2FMeloTTS | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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</div>
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## Introduction
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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:
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| Language | Example |
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| --- | --- |
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| English (American) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) |
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| English (British) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) |
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| English (Indian) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) |
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| English (Australian) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) |
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| English (Default) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) |
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| Spanish | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) |
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| French | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) |
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| Chinese (mix EN) | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) |
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| Japanese | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) |
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| Korean | [Link](https://myshell-public-repo-host.s3.amazonaws.com/myshellttsbase/examples/kr/KR/speed_1.0/sent_000.wav) |
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Some other features include:
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- The Chinese speaker supports `mixed Chinese and English`.
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- Fast enough for `CPU real-time inference`.
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## Usage
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- [Use without Installation](docs/quick_use.md)
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- [Install and Use Locally](docs/install.md)
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- [Training on Custom Dataset](docs/training.md)
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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).
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**Contributing**
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If you find this work useful, please consider contributing to this repo.
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- Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part.
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## Authors
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- [Wenliang Zhao](https://wl-zhao.github.io) at Tsinghua University
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- [Xumin Yu](https://yuxumin.github.io) at Tsinghua University
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- [Zengyi Qin](https://www.qinzy.tech) (project lead) at MIT and MyShell
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**Citation**
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```
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@software{zhao2024melo,
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author={Zhao, Wenliang and Yu, Xumin and Qin, Zengyi},
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title = {MeloTTS: High-quality Multi-lingual Multi-accent Text-to-Speech},
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url = {https://github.com/myshell-ai/MeloTTS},
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year = {2023}
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}
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```
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## License
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This library is under MIT License, which means it is free for both commercial and non-commercial use.
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## Acknowledgements
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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.
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