• 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