--- license: mit language: - ko pipeline_tag: text-to-speech --- # MeloTTS myshell-ai%2FMeloTTS | Trendshift 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: | Model card | Example | | --- | --- | | [English](https://huggingface.co./myshell-ai/MeloTTS-English-v2) (American) | [Link](https://myshell-public-repo-host.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-host.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-host.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-host.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-host.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-host.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-host.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-host.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-host.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-host.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`. ## Authors - [Wenliang Zhao](https://wl-zhao.github.io) at Tsinghua University - [Xumin Yu](https://yuxumin.github.io) at Tsinghua University - [Zengyi Qin](https://www.qinzy.tech) (project lead) at MIT and MyShell **Citation** ``` @software{zhao2024melo, author={Zhao, Wenliang and Yu, Xumin and Qin, Zengyi}, title = {MeloTTS: High-quality Multi-lingual Multi-accent Text-to-Speech}, url = {https://github.com/myshell-ai/MeloTTS}, year = {2023} } ``` ## 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.