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| license: mit | |
| language: | |
| - ko | |
| pipeline_tag: text-to-speech | |
| # MeloTTS | |
| MeloTTS is a **high-quality multi-lingual** text-to-speech library by [MyShell.ai](https://myshell.ai). Supported languages include: | |
| | Model card | Example | | |
| | --- | --- | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| | [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) | | |
| Some other features include: | |
| - The Chinese speaker supports `mixed Chinese and English`. | |
| - Fast enough for `CPU real-time inference`. | |
| ## Usage | |
| ### Without Installation | |
| An unofficial [live demo](https://huggingface.co/spaces/mrfakename/MeloTTS) is hosted on Hugging Face Spaces. | |
| #### Use it on MyShell | |
| 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). | |
| More can be found at the widget center of [MyShell.ai](https://app.myshell.ai/robot-workshop). | |
| ### Install and Use Locally | |
| 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: | |
| ```python | |
| from melo.api import TTS | |
| # Speed is adjustable | |
| speed = 1.0 | |
| # CPU is sufficient for real-time inference. | |
| # You can set it manually to 'cpu' or 'cuda' or 'cuda:0' or 'mps' | |
| device = 'auto' # Will automatically use GPU if available | |
| # English | |
| text = "Did you ever hear a folk tale about a giant turtle?" | |
| model = TTS(language='EN_V2', device=device) | |
| speaker_ids = model.hps.data.spk2id | |
| # American accent | |
| output_path = 'en-us.wav' | |
| model.tts_to_file(text, speaker_ids['EN-US'], output_path, speed=speed) | |
| # British accent | |
| output_path = 'en-br.wav' | |
| model.tts_to_file(text, speaker_ids['EN-BR'], output_path, speed=speed) | |
| # Indian accent | |
| output_path = 'en-india.wav' | |
| model.tts_to_file(text, speaker_ids['EN_INDIA'], output_path, speed=speed) | |
| # Australian accent | |
| output_path = 'en-au.wav' | |
| model.tts_to_file(text, speaker_ids['EN-AU'], output_path, speed=speed) | |
| # Default accent | |
| output_path = 'en-default.wav' | |
| model.tts_to_file(text, speaker_ids['EN-Default'], output_path, speed=speed) | |
| ``` | |
| ## Join the Community | |
| **Open Source AI Grant** | |
| 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. | |
| **Contributing** | |
| If you find this work useful, please consider contributing to the GitHub [repo](https://github.com/myshell-ai/MeloTTS). | |
| - Many thanks to [@fakerybakery](https://github.com/fakerybakery) for adding the Web UI and CLI part. | |
| ## 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. | |