| <div align="center"> | |
| <div> </div> | |
| <img src="resources/openvoicelogo.jpg" width="400"/> | |
| [Paper](https://arxiv.org/abs/2312.01479) | | |
| [Website](https://research.myshell.ai/open-voice) <br> <br> | |
| <a href="https://trendshift.io/repositories/6161" target="_blank"><img src="https://trendshift.io/api/badge/repositories/6161" alt="myshell-ai%2FOpenVoice | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> | |
| </div> | |
| ## Introduction | |
| ### OpenVoice V1 | |
| As we detailed in our [paper](https://arxiv.org/abs/2312.01479) and [website](https://research.myshell.ai/open-voice), the advantages of OpenVoice are three-fold: | |
| **1. Accurate Tone Color Cloning.** | |
| OpenVoice can accurately clone the reference tone color and generate speech in multiple languages and accents. | |
| **2. Flexible Voice Style Control.** | |
| OpenVoice enables granular control over voice styles, such as emotion and accent, as well as other style parameters including rhythm, pauses, and intonation. | |
| **3. Zero-shot Cross-lingual Voice Cloning.** | |
| Neither of the language of the generated speech nor the language of the reference speech needs to be presented in the massive-speaker multi-lingual training dataset. | |
| ### OpenVoice V2 | |
| In April 2024, we released OpenVoice V2, which includes all features in V1 and has: | |
| **1. Better Audio Quality.** | |
| OpenVoice V2 adopts a different training strategy that delivers better audio quality. | |
| **2. Native Multi-lingual Support.** | |
| English, Spanish, French, Chinese, Japanese and Korean are natively supported in OpenVoice V2. | |
| **3. Free Commercial Use.** | |
| Starting from April 2024, both V2 and V1 are released under MIT License. Free for commercial use. | |
| [Video](https://github.com/myshell-ai/OpenVoice/assets/40556743/3cba936f-82bf-476c-9e52-09f0f417bb2f) | |
| OpenVoice has been powering the instant voice cloning capability of [myshell.ai](https://app.myshell.ai/explore) since May 2023. Until Nov 2023, the voice cloning model has been used tens of millions of times by users worldwide, and witnessed the explosive user growth on the platform. | |
| ## Main Contributors | |
| - [Zengyi Qin](https://www.qinzy.tech) at MIT | |
| - [Wenliang Zhao](https://wl-zhao.github.io) at Tsinghua University | |
| - [Xumin Yu](https://yuxumin.github.io) at Tsinghua University | |
| - [Ethan Sun](https://twitter.com/ethan_myshell) at MyShell | |
| ## How to Use | |
| Please see [usage](docs/USAGE.md) for detailed instructions. | |
| ## Common Issues | |
| Please see [QA](docs/QA.md) for common questions and answers. We will regularly update the question and answer list. | |
| ## Citation | |
| ``` | |
| @article{qin2023openvoice, | |
| title={OpenVoice: Versatile Instant Voice Cloning}, | |
| author={Qin, Zengyi and Zhao, Wenliang and Yu, Xumin and Sun, Xin}, | |
| journal={arXiv preprint arXiv:2312.01479}, | |
| year={2023} | |
| } | |
| ``` | |
| ## License | |
| OpenVoice V1 and V2 are MIT Licensed. Free for both commercial and research use. | |
| ## Acknowledgements | |
| This implementation is based on several excellent projects, [TTS](https://github.com/coqui-ai/TTS), [VITS](https://github.com/jaywalnut310/vits), and [VITS2](https://github.com/daniilrobnikov/vits2). Thanks for their awesome work! | |