377 citations · 2k across the 95 of their papers we have counts for
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High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models
Chunyu Qiang, Hao Li, Yixin Tian +4
Text-to-speech (TTS) methods have shown promising results in voice cloning, but they require a large number of labeled text-speech pairs. Minimally-supervised speech synthesis deco…
Minimally-Supervised Speech Synthesis with Conditional Diffusion Model and Language Model: A Comparative Study of Semantic Coding
Chunyu Qiang, Hao Li, Hao Ni +5
Recently, there has been a growing interest in text-to-speech (TTS) methods that can be trained with minimal supervision by combining two types of discrete speech representations a…
DBNet: A Dual-branch Network Architecture Processing on Spectrum and Waveform for Single-channel Speech Enhancement
Kanghao Zhang, Shulin He, Hao Li +1
In real acoustic environment, speech enhancement is an arduous task to improve the quality and intelligibility of speech interfered by background noise and reverberation. Over the…
Guided Training: A Simple Method for Single-channel Speaker Separation
Hao Li, Xueliang Zhang, Guanglai Gao
Deep learning has shown a great potential for speech separation, especially for speech and non-speech separation. However, it encounters permutation problem for multi-speaker separ…