Papers by Yinghao Aaron Li
StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis with Distilled Time-Varying Style Diffusion (2025.naacl-long)
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| Challenge: | Recent advances in text-to-speech (TTS) models have led to improvements in speaker prosody and voices modeling. |
| Approach: | They propose an efficient zero-shot TTS model that leverages distilled time-varying style diffusion to capture diverse speaker identities and prosodies. |
| Outcome: | The proposed model surpasses state-of-the-art models in both naturalness and similarity while reducing inference speed by 90%. |