Model overview
OmniVoice is a massively multilingual zero-shot text-to-speech (TTS) model supporting over 600 languages. Built on a novel diffusion language model-style architecture, it delivers high-quality speech with superior inference speed, supporting voice cloning and voice design. - **Paper:** OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models - **Repository:** GitHub - **Demo:** Hugging Face Space - **Colab:** Google Colab Notebook - **600+ Languages Supported**: The broadest language coverage among zero-shot TTS models. - **Voice Cloning**: State-of-the-art voice cloning quality from a short reference audio. - **Voice Design**: Control voices via assigned speaker attributes (gender, age, pitch, dialect/accent, whisper, etc.). - **Fine-grained Control**: Non-verbal symbols (e.g., `[laughter]`) and pronunciation correction via pinyin or phonemes. - **Fast Inference**: RTF as low as 0.025 (40x faster than real-time). - **Diffusion Language Model-style Architecture**: A clean, streamlined, and scalable design that delivers both quality and speed.
Key features
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Limitations & considerations
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Source prices & cost analysis
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Public benchmarks & run configuration
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Sources & traceability
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