• DocumentCode
    1350243
  • Title

    Subband-based adaptive decorrelation filtering for co-channel speech separation

  • Author

    Huang, Jonathan ; Yen, Kuan-Chieh ; Zhao, Yunxin

  • Author_Institution
    Latitude Commun., Santa Clara, CA, USA
  • Volume
    8
  • Issue
    4
  • fYear
    2000
  • fDate
    7/1/2000 12:00:00 AM
  • Firstpage
    402
  • Lastpage
    406
  • Abstract
    A subband-based adaptive decorrelation filtering algorithm (SBADF) is proposed for co-channel speech separation. The SBADF decomposes the input signals into several frequency subbands, and uses the adaptive decorrelation filtering algorithm (ADF) to process the signals in each subband independently. The processed subband signals are then combined for each channel to form the separated speech. Experimental results show that while the fullband ADF can achieve better separation performance after reaching convergence, the SBADF has the advantage of improved convergence rate and reduced computational complexity by a factor of approximately two
  • Keywords
    adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; decorrelation; filtering theory; speech processing; adaptive decorrelation filtering algorithm; co-channel speech separation; convergence rate; experimental results; filtering algorithm; frequency subbands; fullband ADF; input signals decomposition; reduced computational complexity; separation performance; signal to interference ratio; subband signals processing; subband-based adaptive decorrelation filtering; Adaptive filters; Computational complexity; Convergence; Decorrelation; Filtering algorithms; Finite impulse response filter; Least squares approximation; Microphones; Signal processing; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.848221
  • Filename
    848221