• DocumentCode
    2455533
  • Title

    A weighted multichannel Wiener filter for multiple sources scenarios

  • Author

    Markovich-Golan, Shmulik ; Gannot, Sharon ; Cohen, Israel

  • Author_Institution
    Fac. of Eng., Bar-Ilan Univ., Ramat-Gan, Israel
  • fYear
    2012
  • fDate
    14-17 Nov. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The scenario of P speakers received by an M microphone array in a reverberant enclosure is considered. We extend the single source speech distortion weighted multichannel Wiener filter (SDW-MWF) to deal with multiple speakers. The mean squared error (MSE) is extended by introducing P weights, each controlling the distortion of one of the sources. The P weights enable further control in the design of the beamformer (BF). Two special cases of the proposed BF are the SDW-MWF and the linearly constrained minimum variance (LCMV)-BF. We provide a theoretical analysis for the performance of the proposed BF. Finally, we exemplify the ability of the proposed method to control the tradeoff between noise reduction (NR) and distortion levels of various speakers in an experimental study.
  • Keywords
    Wiener filters; array signal processing; distortion; interference suppression; mean square error methods; microphone arrays; speaker recognition; BF; M microphone array; MSE; SDW-MWF; beamformer design; distortion levels; mean squared error; multiple source scenario; multiple speakers; noise reduction; single source speech distortion weighted multichannel Wiener filter; Acoustic distortion; Approximation methods; Covariance matrix; Matrices; Microphones; Noise; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical & Electronics Engineers in Israel (IEEEI), 2012 IEEE 27th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4673-4682-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2012.6376958
  • Filename
    6376958