k2-fsa/OmniVoice
Position in GitHub’s trending lists, facts from the GitHub API and the README, and the star history recorded by this site.
Collected
High-Quality Voice Cloning TTS for 600+ Languages
First paragraph of the README
OmniVoice is a state-of-the-art massively multilingual zero-shot text-to-speech (TTS) model supporting over 600 languages. Built on a novel diffusion language model-style architecture, it generates high-quality speech with superior inference speed, supporting voice cloning and voice design.
Install command found in the README
pip install omnivoiceWhere it is trending
| List | Position | Stars gained |
|---|---|---|
| python, today | #14 | +53 today |
Star history recorded by this site
One reading per day since Oct 18, 2026, the first day this repository was seen in a trending list. A chart is drawn once three days have been recorded.
- 14,775+26
- 14,749
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A small static image that shows the best position this repository reached in the lists we recorded. It links to this page and carries no tracking.
[](https://githubtrending.today/repo/k2-fsa/OmniVoice)The image is drawn when this site is built, so it shows the best position recorded up to then.
README
from the repository k2-fsa/OmniVoice on GitHub. Open the original README
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Positions, star totals and “stars gained” are the ones GitHub published, read at Oct 19, 2026, 07:00 UTC. The README paragraph and the install command are copied automatically and are not reviewed.
Source: github.com/trending · updated
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Questions and answers
More detail on the method page.
How many stars does k2-fsa/OmniVoice have?
14,775 stars and 2,205 forks when GitHub’s trending page was read on Oct 19, 2026, 07:00 UTC. GitHub reported 53 new stars for the period of the list it appears in.
What is k2-fsa/OmniVoice written in, and under which license?
GitHub classifies it as Python. Its license, as reported by the GitHub API, is Apache-2.0.
How do I install k2-fsa/OmniVoice?
Its README gives this command: pip install omnivoice. It is copied automatically; check the repository before running it.
