• DocumentCode
    2976367
  • Title

    An Improved Technique for Blind Audio Source Separation

  • Author

    Cho, Namgook ; Shiu, Yu ; Kuo, C. -C Jay

  • Author_Institution
    University of Southern California, Los Angeles, USA
  • fYear
    2006
  • fDate
    Dec. 2006
  • Firstpage
    525
  • Lastpage
    528
  • Abstract
    A blind audio source separation technique with an ill-posed mixing matrix and additive noise is proposed in this work. With this technique, we divide the solution into two steps. The first step is to estimate the ill-posed mixing matrix and the second step is to separate original sources. To estimate the ill-posed mixing matrix, an enhanced soft-assignment method is used in the first step. Then, the generalized p-norm optimization method is adopted in the second step, which can yield a solution sparser than the l1-norm minimization technique. Experimental results on synthetic mixtures and real-world mixtures are used to demonstrate the efficiency of the proposed technique in the presence of an ill-posed mixing matrix and additive noise.
  • Keywords
    Additive noise; Blind source separation; Independent component analysis; Minimization methods; Optimization methods; Signal processing; Signal processing algorithms; Source separation; Sparse matrices; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2006. IIH-MSP '06. International Conference on
  • Conference_Location
    Pasadena, CA, USA
  • Print_ISBN
    0-7695-2745-0
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2006.265056
  • Filename
    4041776