115 citations · 433 across the 30 of their papers we have counts for
30 papers
SpatialNet: Extensively Learning Spatial Information for Multichannel Joint Speech Separation, Denoising and Dereverberation
Changsheng Quan, Xiaofei Li
This work proposes a neural network to extensively exploit spatial information for multichannel joint speech separation, denoising and dereverberation, named SpatialNet. In the sho…
FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization
Yabo Wang, Bing Yang, Xiaofei Li
Extracting direct-path spatial features is critical for sound source localization in adverse acoustic environments. This paper proposes a full-band and narrow-band fusion network f…
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…