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--- |
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license: mit |
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language: |
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- ko |
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pipeline_tag: text-to-speech |
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--- |
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# MeloTTS |
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MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include: |
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| Model card | Example | |
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| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-US/speed_1.0/sent_000.wav) | |
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| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (British) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-BR/speed_1.0/sent_000.wav) | |
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| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Indian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN_INDIA/speed_1.0/sent_000.wav) | |
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| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Australian) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-AU/speed_1.0/sent_000.wav) | |
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| [English](https://huggingface.co/myshell-ai/MeloTTS-English-v2) (Default) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/en/EN-Default/speed_1.0/sent_000.wav) | |
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| [Spanish](https://huggingface.co/myshell-ai/MeloTTS-Spanish) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/es/ES/speed_1.0/sent_000.wav) | |
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| [French](https://huggingface.co/myshell-ai/MeloTTS-French) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/fr/FR/speed_1.0/sent_000.wav) | |
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| [Chinese](https://huggingface.co/myshell-ai/MeloTTS-Chinese) (mix EN) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/zh/ZH/speed_1.0/sent_008.wav) | |
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| [Japanese](https://huggingface.co/myshell-ai/MeloTTS-Japanese) | [Link](https://myshell-public-repo-hosting.s3.amazonaws.com/myshellttsbase/examples/jp/JP/speed_1.0/sent_000.wav) | |
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| [Korean](https://huggingface.co/myshell-ai/MeloTTS-Korean/) | [Link](https://myshell-public-repo-hosting.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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### Without Installation |
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An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces. |
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#### Use it on MyShell |
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There are hundreds of TTS models on MyShell, much more than MeloTTS. See examples [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/quick_use.md#use-melotts-without-installation). |
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More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop). |
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### Install and Use Locally |
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Follow the installation steps [here](https://github.com/myshell-ai/MeloTTS/blob/main/docs/install.md#linux-and-macos-install) before using the following snippet: |
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```python |
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from melo.api import TTS |
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# Speed is adjustable |
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speed = 1.0 |
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device = 'cpu' # or cuda:0 |
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text = "彼は毎朝ジョギングをして体を健康に保っています。" |
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model = TTS(language='JP', device=device) |
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speaker_ids = model.hps.data.spk2id |
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output_path = 'jp.wav' |
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model.tts_to_file(text, speaker_ids['JP'], output_path, speed=speed) |
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``` |
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## Join the Community |
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**Open Source AI Grant** |
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We are actively sponsoring open-source AI projects. The sponsorship includes GPU resources, fundings and intellectual support (collaboration with top research labs). We welcome both reseach and engineering projects, as long as the open-source community needs them. Please contact [Zengyi Qin](https://www.qinzy.tech/) if you are interested. |
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**Contributing** |
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If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS). |
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- Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part. |
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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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