• DocumentCode
    311410
  • Title

    Blind separation of multiple speakers in a multipath environment

  • Author

    Lambert, Russell H. ; Bell, Anthony J.

  • Author_Institution
    TRW Space & Electron. Group, Redondo Beach, CA, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    423
  • Abstract
    We relate information theoretic blind learning methods (infomax) and Bussgang blind equalization methods. The multipath extension of blind source separation methods can be seen in the frequency domain using FIR matrix algebra (matrices of finite impulse response filters). Three forms of Bussgang algorithms are given. The blind serial update method of Cardoso and Laheld (1994) is related to the infomax objective of Bell and Sejnowski (1995). The application emphasis is on speech separation. We demonstrate the robustness and power of the new techniques by blindly separating speech signals recorded in a multipath environment
  • Keywords
    FIR filters; acoustic signal processing; equalisers; frequency-domain analysis; information theory; matrix algebra; multipath channels; speech processing; Bussgang blind equalization methods; FIR matrix algebra; blind learning methods; blind separation; blind serial update method; blind source separation methods; finite impulse response filters; frequency domain; infomax; infomax objective; multipath environment; multiple speakers; robustness; speech separation; Approximation algorithms; Blind equalizers; Cost function; Finite impulse response filter; Frequency domain analysis; Least squares approximation; Linear systems; Matrices; Speech; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.599665
  • Filename
    599665