OpenVoice is a voice cloning and cross-lingual speech generation model that takes a reference audio sample to replicate its tone color. It provides granular control over voice style parameters and supports zero-shot speech generation in languages outside its training dataset.
Project overview
The model enables zero-shot cross-lingual voice cloning, meaning the generated speech or reference language does not need to be present in the training dataset.
Project type
Audio & Speech
Use cases
Audio & Speech
Deployment
Refer to project documentation
License
MIT
Best for
Creators, researchers, and AI engineers who need granular control over voice style parameters and zero-shot multi-language 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 uses a different training strategy that delivers better audio quality.
Limitations and risks
There is no available data regarding GPU requirements, minimum hardware, operating system support, required external APIs, model requirements, or telemetry.
The project does not document the required coding knowledge for implementation or any associated cost dependencies.
Getting started
The project README points to a separate usage document, but the instructions are not included in the supplied source bundle. The setup difficulty and initial success path are currently unclear.
Alternatives and comparisons
Provides a WebUI for zero-shot and few-shot voice conversion and TTS, capable of training a model with 1 minute of data.
A toolbox and CLI implementation of the SV2TTS framework with a real-time vocoder for synthesizing cloned speech from arbitrary text.
A local-first voice I/O stack bridging voice cloning, speech generation, and global dictation with agent voice output.
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.