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  license: mit
 
 
 
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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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+
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+ # MeloTTS
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+
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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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+
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+
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+ | Model card | Example |
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+ | --- | --- |
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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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+
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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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+
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+
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+ ## Usage
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+
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+ ### Without Installation
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+
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+ An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces.
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+
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+ #### Use it on MyShell
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+
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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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+
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+ ### Install and Use Locally
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+
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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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+
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+ ```python
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+ from melo.api import TTS
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+
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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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+
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+ text = "我最近在学习machine learning,希望能够在未来的artificial intelligence领域有所建树。"
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+ model = TTS(language='ZH', device=device)
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+ speaker_ids = model.hps.data.spk2id
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+
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+ output_path = 'zh.wav'
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+ model.tts_to_file(text, speaker_ids['ZH'], output_path, speed=speed)
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+ ```
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+
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+
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+ ## Join the Community
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+
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+ **Open Source AI Grant**
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+
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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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+
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+ **Contributing**
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+
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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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+
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+ ## License
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+
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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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+
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+ ## Acknowledgements
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+
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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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+