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OmniVoice Open-Source TTS Model Supports 600+ Languages with 3-Second Voice Cloning

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The k2-fsa research team has released OmniVoice, a zero-shot text-to-speech model supporting over 600 languages — the broadest language coverage among existing zero-shot TTS systems. Built on a diffusion language model architecture, it delivers high-quality audio generation faster than traditional autoregressive models. OmniVoice can clone a speaker's voice from a reference audio clip as short as 3 to 15 seconds, and also supports voice design via text instructions such as specifying accent or gender. The model is fully open-source, available on GitHub and Hugging Face, and runs locally on CUDA, Apple Silicon, and Intel Arc GPUs without requiring cloud API access. The release is backed by a peer-reviewed paper on arXiv (arXiv:2604.00688), and community developers have already built integrations for platforms like ComfyUI and Home Assistant.

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