• DocumentCode
    705166
  • Title

    A two-stage multichannel acoustic noise reduction under reverberant environments

  • Author

    Togami, Masahito ; Kawaguchi, Yohei

  • Author_Institution
    Central Res. Lab., Hitachi Ltd., Kokubunji, Japan
  • fYear
    2010
  • fDate
    23-27 Aug. 2010
  • Firstpage
    726
  • Lastpage
    730
  • Abstract
    In this paper, there are two contributions for multichannel noise reduction techniques under reverberant environments. The first contribution is a theoretical analysis of previously proposed multichannel spatial prediction based noise reduction technique (MSP-BF), and discussion about the relationship between MSP-BF and MWF. In MSP-BF, noise sources can be reduced effectively at the first stage by multichannel spatial filtering. The desired sources are distorted after the first stage. The distortion of the desired sources are restored at the second stage by multichannel distortion-restoration filtering. The advantageous point of MSP-BF is that this method can reduce noise sources without the steering vectors of the desired sources. However, there is not a sufficient theoretical analysis in the previous paper. The second contribution is that an alternative noise reduction technique based on the subspace filtering at the first stage, NSR-BF, is proposed. The experimental result under a reverberant environment is shown.
  • Keywords
    acoustic noise measurement; reverberation; spatial filters; MSP-BF; multichannel distortion restoration filtering; multichannel spatial filtering; multichannel spatial prediction based noise reduction technique; noise reduction technique; noise sources; reverberant environment; reverberant environments; steering vectors; subspace filtering; two stage multichannel acoustic noise reduction; Array signal processing; Distortion; Mel frequency cepstral coefficient; Microphones; Noise reduction; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2010 18th European
  • Conference_Location
    Aalborg
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7096439