OpenVoice

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Open-source instant voice cloning with control over emotion, accent and style

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OpenVoice

What it is

OpenVoice is an open-source text-to-speech and voice cloning model released by MyShell with researchers from MIT. Given a short reference recording, it reproduces the speaker's tone color and can generate speech in several languages and accents, including languages the reference speaker never recorded. Users can adjust style parameters such as emotion, accent, rhythm, pauses and intonation. The project publishes its code and model weights on GitHub along with a technical report, and its second version is released under the MIT license, which allows commercial use. Because it runs on your own hardware, it suits developers and researchers who want to build voice features without paying per-character API fees, though it requires Python and some setup.

Key features

Instant cloning from a short reference clip
Emotion and accent style control
Zero-shot cross-lingual speech
Open code and model weights

What we liked

+ Free and open source under the MIT license
+ Runs locally with no per-use fees
+ Fine control over voice style

Worth noting

· Requires technical setup to run
· No polished hosted app on the project page

Editor's notes

More context from AI BirdView

Most voice cloning tools are paid cloud services, which can be limiting for developers who want to experiment or ship voice features at scale. OpenVoice offers a different route: an openly released model that clones a voice from a brief sample and gives granular control over how that voice sounds. Its ability to speak languages missing from the reference recording is one of its more notable research results.

Reproduces a speaker's tone color from a short audio clip
Adjusts emotion, accent, rhythm, pauses and intonation
Generates cross-lingual speech, according to the project's technical report
Publishes source code and weights on GitHub, with version two under the MIT license
Runs on your own machine, avoiding usage-based API costs

OpenVoice is best for developers, researchers and hobbyists comfortable with Python who want a capable, free foundation for voice projects. It is less suited to people looking for a ready-made app with a simple interface. A practical tip: record a clean reference clip in a quiet room with no background music, and always get clear consent from anyone whose voice you clone.