• DocumentCode
    705294
  • Title

    Beamforming array technique with clustered multichannel noise covariance matrix for mechanical noise reduction

  • Author

    Togami, Masahito ; Sumiyoshi, Takashi ; Obuchi, Yasunari ; Kawaguchi, Yohei ; Kokubo, Hiroaki

  • Author_Institution
    Central Res. Lab., Hitachi Ltd., Kokubunji, Japan
  • fYear
    2010
  • fDate
    23-27 Aug. 2010
  • Firstpage
    741
  • Lastpage
    745
  • Abstract
    In this paper, we propose a novel multichannel noise reduction method for a mechanical noise with a time-variant impulse response. The mechanical noise source location moves depending on the status of the actuator. In accordance with the move of the noise-source location, a most suitable multichannel beamformer is selected separately at each time-frequency bin. Each multichannel beamformer is made from a corresponding multichannel noise co-variance matrix which is learned in advance. The selection criteria in the proposed method is to minimize the residual noise power in the output signal. The multichannel beamformer that minimizes the residual power after beamforming is selected. Furthermore, to reduce directional noise sources, the multichannel directional noise covariance matrix is inserted into each multichannel mechanical noise covariance matrix. Experimental results of mechanical noise reduction show that the proposed method can reduce the mechanical noise more accurately than the conventional method.
  • Keywords
    array signal processing; covariance matrices; signal denoising; time-frequency analysis; transient response; actuator; beamforming array technique; clustered multichannel directional noise covariance matrix; directional noise source reduction; mechanical noise reduction; mechanical noise source location; multichannel beamformer; multichannel noise reduction method; residual noise power minimization; selection criteria; time-frequency bin; time-variant impulse response; Covariance matrices; Microphones; Noise reduction; Signal to noise ratio; Speech; Time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2010 18th European
  • Conference_Location
    Aalborg
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7096567