Verified project record

myshell-ai/OpenVoice

OpenVoice clones a reference voice's tone color and generates speech with controllable emotion, accent, and rhythm across multiple languages. It processes reference speech inputs to produce cross-lingual generated audio.

Project overview

Project type: Audio & Speech
Use cases: Audio & Speech
Deployment: Refer to project documentation
License: MIT

Best for

Creators, researchers, and AI engineers working on voice cloning tasks.
Creators and researchers focusing on cross-lingual text-to-speech generation.

Key capabilities

Clones a reference tone color and generates speech in multiple languages and accents.
Provides granular control over emotion, accent, rhythm, pauses, intonation, and other voice style parameters.
Supports generated-speech and reference-speech languages that were not present in the massive-speaker multilingual training dataset.
OpenVoice V2 natively supports English, Spanish, French, Chinese, Japanese, and Korean.
OpenVoice V2 uses a different training strategy that delivers better audio quality.

Limitations and risks

Coding requirements, GPU, minimum hardware, cost dependencies, telemetry, and data boundary details are not documented.
The README does not contain direct first success path instructions and relies on a separate usage document.

Getting started

The difficulty of setup is unclear. The README points to a separate usage document, but its instructions are not included in the supplied source bundle.

Evidence and sources

GitHub project description: Instant voice cloning by MIT and MyShell. Audio foundation model.
README: OpenVoice can accurately clone the reference tone color and generate speech in multiple languages and accents.
README: OpenVoice enables granular control over voice styles, such as emotion and accent, as well as other style parameters including rhythm, pauses, and intonation.
README: 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.
README: English, Spanish, French, Chinese, Japanese and Korean are natively supported in OpenVoice V2.

Reviewed at: 2026-07-17T09:04:42Z