• DocumentCode
    774713
  • Title

    Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement

  • Author

    Hoya, Tetsuya ; Tanaka, Toshihisa ; Cichocki, Andrzej ; Murakami, Takahiro ; Hori, Gen ; Chambers, Jonathon A.

  • Author_Institution
    Lab. for Adv. Brain Signal Process., Saitama, Japan
  • Volume
    13
  • Issue
    3
  • fYear
    2005
  • fDate
    5/1/2005 12:00:00 AM
  • Firstpage
    309
  • Lastpage
    320
  • Abstract
    A novel stereophonic noise reduction method is proposed. This method is based upon a combination of a subspace approach realized in a sliding window operation and two-channel adaptive signal enhancing. The signal obtained from the signal subspace is used as the input signal to the adaptive signal enhancer for each channel, instead of noise, as in the ordinary adaptive noise canceling scheme. Simulation results based upon real stereophonic speech contaminated by noise components show that the proposed method gives improved enhancement quality in terms of both segmental gain and cepstral distance performance indices in comparison with conventional nonlinear spectral subtraction approaches.
  • Keywords
    adaptive signal processing; cepstral analysis; signal denoising; speech enhancement; adaptive noise canceling scheme; adaptive signal enhancement; cepstral distance performance index; segmental gain; sliding subspace projection; sliding window operation; spectral subtraction approach; speech enhancement; stereophonic noise reduction; stereophonic speech; Biomedical signal processing; Cepstral analysis; Deconvolution; Laboratories; Matrix decomposition; Noise cancellation; Noise reduction; Performance gain; Speech enhancement; Speech processing; Sliding subspace projection; speech enhancement; stereophonic noise reduction;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/TSA.2005.845792
  • Filename
    1420366