Incorporating spatial information in binaural beamforming for noise suppression in hearing AIDS

Wei Cheng Liao, Mingyi Hong, Ivo Merks, Tao Zhang, Zhi Quan Luo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5733-5737
Number of pages5
Volume2015-August
ISBN (Electronic)9781467369978
DOIs
StatePublished - Jan 1 2015
Event40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia
Duration: Apr 19 2014Apr 24 2014

Other

Other40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
CountryAustralia
CityBrisbane
Period4/19/144/24/14

Keywords

  • Binaural signal processing
  • coordinate descent
  • dual decomposition
  • spatial information

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