• DocumentCode
    1376256
  • Title

    MMSE estimator for speech enhancement considering the constructive and destructive interference of noise

  • Author

    Hasan, T. ; Hasan, M.K.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., United Int. Univ., Dhaka, Bangladesh
  • Volume
    4
  • Issue
    1
  • fYear
    2010
  • fDate
    2/1/2010 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    A new minimum mean square error (MMSE) estimator for discrete cosine transform (DCT) domain speech enhancement considering the two state possibilities of signal and noise DCT coefficients, the constructive and destructive interference, is proposed. Given proper identification of these events are possible, an optimum non-linear MMSE estimator can be derived considering the conditional events. Compared to the previously reported dual-gain multiplicative filters, the proposed estimator demonstrates superior theoretical and experimental performance with respect to mean square error (MSE) improvement and other objective quality measures.
  • Keywords
    discrete cosine transforms; filtering theory; interference suppression; least mean squares methods; speech enhancement; constructive noise interference; destructive noise interference; discrete cosine transform domain speech enhancement; dual-gain multiplicative filters; minimum mean square error estimator; optimum nonlinear MMSE estimator;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IET
  • Publisher
    iet
  • ISSN
    1751-9675
  • Type

    jour

  • DOI
    10.1049/iet-spr.2008.0114
  • Filename
    5373574