Zhongshu Hou — accepted AI-conference papers

2023

A Low-Latency Hybrid Multi-Channel Speech Enhancement System For Hearing Aids

Tong Lei, Zhongshu Hou, Yuxiang Hu, Wanyu Yang, Tianchi Sun, Xiaobin Rong +3

ICASSP 2023accepted

This paper summarizes a hybrid multi-channel speech enhancement system for the ICASSP Signal Processing Grand Challenge: Clarity Challenge (Speech Enhancement for Hearing Aids) 2023. The system consists of a rule-based dereverberation module, a multi-channel enhancement module, and a post-processing…

Cited by 0 Source ↗Scholar ↗

2023

Convolutional Recurrent MetriCGAN With Spectral Dimension Compression For Full-Band Speech Enhancement

Zhongshu Hou, Qinwen Hu, Tianchi Sun, Yuxiang Hu, Changbao Zhu, Kai Chen

ICASSP 2023accepted

MetricGAN and its variations have been proven to be an effective wide-band speech enhancement model. In this paper, we expand it to full-band enhancement by combining our recently proposed learnable spectral dimension compression mapping strategy. The encoder-decoder structure with a time-frequency…

Cited by 0 Source ↗Scholar ↗