On the application of the LCMV beamformer to speech enhancement

Emanuël A.P. Habets, Jacob Benesty, Sharon Gannot, Patrick A. Naylor, Israel Cohen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Scopus citations

    Abstract

    In theory the linearly constrained minimum variance (LCMV) beamformer can achieve perfect dereverberation and noise cancellation when the acoustic transfer functions (ATFs) between all sources (including interferences) and the microphones are known. However, blind estimation of the ATFs remains a difficult task. In this paper the noise reduction of the LCMV beamformer is analyzed and compared with the noise reduction of the minimum variance distortionless response (MVDR) beamformer. In addition, it is shown that the constraint of the LCMV can be modified such that we only require relative transfer functions rather than ATFs to achieve perfect cancellation of coherent interferences. Finally, we evaluate the noise reduction performance achieved by the LCMV and MVDR beamformers for two coherent sources: one desired and one undesired.

    Original languageEnglish
    Title of host publication2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009
    Pages141-144
    Number of pages4
    DOIs
    StatePublished - 2009
    Event2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 - New Paltz, NY, United States
    Duration: 18 Oct 200921 Oct 2009

    Publication series

    NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

    Conference

    Conference2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009
    Country/TerritoryUnited States
    CityNew Paltz, NY
    Period18/10/0921/10/09

    Keywords

    • Beamforming
    • Linearly constrained minimum variance (LCMV) filter
    • Microphone arrays
    • Noise reduction
    • Speech enhancement

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