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

作者：Tong Lei, Zhongshu Hou, Yuxiang Hu, Wanyu Yang, Tianchi Sun, Xiaobin Rong, Da‐Han Wang, Kai Chen, Jing Lü · 年份：2023 · DOI：10.1109/icassp49357.2023.10095939 · 被引用次数：9 · 研究领域：Speech and Audio Processing、Advanced Adaptive Filtering Techniques、Speech Recognition and Synthesis

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.