OmniVoice
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- k2-fsa releases OmniVoice, a zero-shot TTS model claiming 600+ languages
The GitHub project k2-fsa/OmniVoice surfaced on GitHub Trending, describing itself as a massively multilingual zero-shot text-to-speech model covering more than 600 languages. According to its README, it uses a "diffusion language model-style" architecture and supports voice cloning plus voice design via speaker attributes such as gender, age, pitch, accent, dialect and whisper, along with inline tags like [laughter] and pinyin or phoneme pronunciation correction. The project also reports self-measured figures, including an RTF as low as 0.025 (about 40x faster than real time) and FlashInfer speedups over baseline on a single H100; these numbers are vendor-reported and no independent evaluation is cited.
GitHub Trending · Python · 🔥 8
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