A LOW-LATENCY HYBRID MULTI-CHANNEL SPEECH ENHANCEMENT SYSTEM FOR HEARING AIDS
Tong Lei (Nanjing University); Zhongshu Hou (Nanjing University); Yuxiang Hu (Horizon Robotics); Wanyu Yang (Horizon Robotics); Tianchi Sun (Nanjing University); Xiaobin Rong (Nanjing University); Dahan Wang (Nanjing University); Kai Chen (Nanjing University); Jing Lu (Nanjing University)
-
Members: FreeSPS
IEEE Members: $11.00
Non-members: $15.00
10 Jun 2023
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.
