OpenVoice – Advancing Voice Cloning Technology

In the ever-evolving world of voice technology, OpenVoice stands as a game-changer.

This groundbreaking platform, developed by a team of experts from MIT, Tsinghua University, and MyShell, offers a trifecta of advantages: precise tone color cloning, fine-grained voice style control, and zero-shot cross-lingual capabilities.

Since its launch in May 2023, OpenVoice has witnessed explosive growth, powering MyShell’s instant voice cloning capability and reshaping the future of voice cloning technology.

As we detailed in our paper and website, 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 has been powering the instant voice cloning capability of myshell.ai 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 at MIT and MyShell
• Wenliang Zhao at Tsinghua University
• Xumin Yu at Tsinghua University
• Ethan Sun at MyShell

How To Use

Please see usage for detailed instructions.

Common Issues

Please see QA for common questions and answers. We will regularly update the question and answer list.

Join Our Community

Join our Discord community and select the Developer role upon joining to gain exclusive access to our developer-only channel! Don’t miss out on valuable discussions and collaboration opportunities.

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}
}