Effect of multiple nonstationary sources on MVDR beamformers

Michael E. Lockwood, Douglas L. Jones, Charissa R. Lansing, William D. O'Brien, Bruce C. Wheeler, Albert S. Feng

Research output: Contribution to journalConference article

Abstract

MVDR beamformers have been proposed for use in hearing aids. Experiments show poor performance for time-domain methods for more speech sources than sensors, in contrast to the human auditory system. A frequency-domain binaural MVDR algorithm applied in a cocktail-party environment performs significantly better than the Frost or GSC algorithms. Experiments show that the performance advantage of the frequency-domain algorithm can be attributed to rapid, independent adaptation across frequency bands, allowing faster, more accurate tracking of speech sources than time-domain techniques.

Original languageEnglish (US)
Pages (from-to)730-734
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Dec 1 2003
Externally publishedYes
EventConference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 9 2003Nov 12 2003

Keywords

  • Adaptive beamforming
  • MVDR beamforming
  • Nonstationary sources

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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