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

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...

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Bibliographic Details
Published inICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1 - 2
Main Authors Lei, Tong, Hou, Zhongshu, Hu, Yuxiang, Yang, Wanyu, Sun, Tianchi, Rong, Xiaobin, Wang, Dahan, Chen, Kai, Lu, Jing
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.06.2023
Subjects
Acoustics
beamforming
Hearing aids
Indexes
Measurement
Signal processing
Spatial filters
Speech enhancement
The ICASSP 2023 Clarity Challenge
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Summary: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 module. Without using the head rotation information and the enrollment speech, the system can reach an average hearing aid speech perception index (HASPI) score of 0.696 and hearing aid speech quality index (HASQI) score of 0.320 on the official development set. The corresponding scores are 0.729 and 0.316 respectively on the Eval1 set for the challenge ranking.
ISSN:2379-190X
DOI:10.1109/ICASSP49357.2023.10095939