DocumentCode :
730895
Title :
Incorporating spatial information in binaural beamforming for noise suppression in hearing aids
Author :
Wei-Cheng Liao ; Mingyi Hong ; Merks, Ivo ; Tao Zhang ; Zhi-Quan Luo
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
5733
Lastpage :
5737
Abstract :
In this paper, we propose a beamforming algorithm for binaural hearing aids with enhanced noise suppression capability. The enhancement is based on incorporating a priori spatial information into the conventional multichannel Wiener filtering (MWF) approach for noise suppression. We develop a low complexity algorithm for the resulting quadratically constrained beamforming problem. Through numerical experiments, we demonstrate that the new algorithm can achieve better noise suppression performance than the existing beamforming algorithms under fairly realistic conditions. In addition, we propose two techniques to further reduce the algorithm´s computational complexity and the communication overhead between two hearing aids without sacrificing the noise suppression performance.
Keywords :
Wiener filters; acoustic signal processing; array signal processing; computational complexity; hearing aids; interference suppression; MWF approach; communication overhead reduction; computational complexity reduction; conventional multichannel Wiener filtering approach; hearing aid; noise suppression; quadratically constrained binaural beamforming problem; spatial information; Auditory system; Interference; Speech; Binaural signal processing; coordinate descent; dual decomposition; spatial information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7179070
Filename :
7179070
Link To Document :
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