• DocumentCode
    547459
  • Title

    An insight into the parametric multichannel wiener formulation

  • Author

    Low, Siow Yong ; Nordholm, Sven

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ., Miri, Malaysia
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    513
  • Lastpage
    516
  • Abstract
    Parametric Wiener formulation in speech applications provides an engineering trade-off between noise suppression and target signal distortion levels. However, the tuning parameter is typically difficult to tune as there is a lack of insight into this parameter. Thus far, there is no direct and simple relationship between the tuning parameter and the target distortion constrained Wiener filter. This paper aims to fill this blank by providing a detailed derivation on the upper bound of the tuner to provide further insights on its selection. It is shown that the tuning parameter is bounded by a function of the signal to noise ratio (SNR) and the number of microphones under incoherent and diffuse noise. Further, a simple recursive estimation method is proposed for the estimation of the target signal and noise covariance information.
  • Keywords
    Wiener filters; recursive estimation; signal denoising; speech enhancement; constrained Wiener filter; microphones; noise covariance information; noise suppression; parametric multichannel Wiener formulation; recursive estimation method; signal to noise ratio; speech enhancement; target signal distortion levels; tuning parameter; Distortion; Distortion measurement; Estimation; Microphones; Noise; Speech; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953272
  • Filename
    5953272