115 citations · 433 across the 30 of their papers we have counts for
8 papers · 1 filter
NBC2: Multichannel Speech Separation with Revised Narrow-band Conformer
Changsheng Quan, Xiaofei Li
This work proposes a multichannel narrow-band speech separation network. In the short-time Fourier transform (STFT) domain, the proposed network processes each frequency independen…
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement
Xiang Hao, Xiaofei Li
FullSubNet is our recently proposed real-time single-channel speech enhancement network that achieves outstanding performance on the Deep Noise Suppression (DNS) Challenge dataset.…
McNet: Fuse Multiple Cues for Multichannel Speech Enhancement
Yujie Yang, Changsheng Quan, Xiaofei Li
In multichannel speech enhancement, both spectral and spatial information are vital for discriminating between speech and noise. How to fully exploit these two types of information…
Speech Dereverberation with a Reverberation Time Shortening Target
Rui Zhou, Wenye Zhu, Xiaofei Li
This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the dire…
Speech Dereverberation with A Reverberation Time Shortening Target
Rui Zhou, Wenye Zhu, Xiaofei Li
This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the dire…
Multichannel Speech Separation with Narrow-band Conformer
Changsheng Quan, Xiaofei Li
This work proposes a multichannel speech separation method with narrow-band Conformer (named NBC). The network is trained to learn to automatically exploit narrow-band speech separ…