StreamMel interleaves text tokens with continuous mel frames in one autoregressive model, reaching state-of-the-art streaming latency with quality comparable to offline zero-shot TTS on LibriSpeech.
CosyV oice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic to- kens,
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StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling
StreamMel interleaves text tokens with continuous mel frames in one autoregressive model, reaching state-of-the-art streaming latency with quality comparable to offline zero-shot TTS on LibriSpeech.