| | --- |
| | license: mit |
| | language: |
| | - ja |
| | 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', 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. |
