2 citations · 6 across the 7 of their papers we have counts for
7 papers
RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization
Bing Yang, Changsheng Quan, Yabo Wang +7
The training of deep learning-based multichannel speech enhancement and source localization systems relies heavily on the simulation of room impulse response and multichannel diffu…
Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers
Changsheng Quan, Xiaofei Li
In this work, we extend our previously proposed offline SpatialNet for long-term streaming multichannel speech enhancement in both static and moving speaker scenarios. SpatialNet e…
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…
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…
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…
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…
Multi-channel Narrow-band Deep Speech Separation with Full-band Permutation Invariant Training
Changsheng Quan, Xiaofei Li
This paper addresses the problem of multi-channel multi-speech separation based on deep learning techniques. In the short time Fourier transform domain, we propose an end-to-end na…