• DocumentCode
    177702
  • Title

    On the noisereduction performance of the MVDR beamformer innoisy and reverberant environments

  • Author

    Chao Pan ; Jingdong Chen ; Benesty, Jacob

  • Author_Institution
    Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    815
  • Lastpage
    819
  • Abstract
    The minimum variance distortionless response (MVDR) beam-former has been widely studied for extraction of desired speech signals in noisy acoustic environments. The performance of this beam-former, however, depends on many factors such as the array geometry, the source incidence angle, the noise field characteristics, the reverberation conditions, etc. In this paper, we study the performance of the MVDR beamformer in different noise and reverberation conditions with a linear microphone array. Using the gain in signal-to-noise ratio (SNR) as the performance metric, we show that the optimal performance of the MVDR beamformer generally occurs when the source is in the endfire directions in different types of noise, which indicates that, as long as a linear array is used, we should configure it in such a way that the endfire direction is pointed to the desired source. Simulations in reverberant environments also verified this result, though the performance difference between end-fire and broadside directions reduces as the degree of reverberation increases.
  • Keywords
    acoustic signal processing; array signal processing; microphone arrays; reverberation; MVDR beamformer; SNR; array geometry; linear microphone array; minimum variance distortionless response beamformer; noise field characteristics; noise reduction; noisy acoustic environments; reverberant environments; reverberation conditions; signal-to-noise ratio; source incidence angle; speech signal; Arrays; Gain; Microphones; Reverberation; Signal to noise ratio; Speech; Beamforming; microphone arrays; minimum variance distortionless response (MVDR) beamformer; noise reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6853710
  • Filename
    6853710