ICASSP 2023accepted0 citations
A Multi-Stage Low-Latency Enhancement System for Hearing Aids
Chengwei Ouyang, Kexin Fei, Haoshuai Zhou, Congxi Lu, Linkai Li
Abstract
This paper proposes an end-to-end system for the ICASSP 2023 Clarity Challenge. In this work, we introduce four major novelties: (1) a novel multi-stage system in both the magnitude and complex domains to better utilize phase information; (2) an asymmetric window pair to achieve higher frequency resolution with the 5ms latency constraint; (3) the integration of head rotation information and the mixture signals to achieve better enhancement; (4) a post-processing module that achieves higher hearing aid speech perception index (HASPI) scores with the hearing aid amplification stage provided by the baseline system.
BibTeX
@inproceedings{icassp2023_amultistagelowla,
title = {A Multi-Stage Low-Latency Enhancement System for Hearing Aids},
author = {Chengwei Ouyang and Kexin Fei and Haoshuai Zhou and Congxi Lu and Linkai Li},
booktitle = {ICASSP 2023},
year = {2023}
}