• DocumentCode
    2858413
  • Title

    Speech Enhancement Algorithm Based on Independent Component Analysis

  • Author

    Li, Hong-Yan ; Zhao, Qing-Hua ; Ren, Guang-long ; Xiao, Bao-Jin

  • Author_Institution
    Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    598
  • Lastpage
    602
  • Abstract
    Speech enhancement algorithm based on independent component analysis is proposed. The standard independent component analysis algorithm require that the number of sensors is more than or equal to that of sources, so it is impossible to apply independent component analysis to single channel speech enhancement directly. In this paper, a single channel speech enhancement algorithm is proposed by constructing a noise signal to as another observation signal for single channel speech noise reduction based on independent component analysis, thereby noise and original speech can be separated through independent component analysis. Simulation result shows that much better denoising effect and signal-noise ratio can be obtained by using this algorithm.
  • Keywords
    independent component analysis; signal denoising; speech enhancement; denoising effect; independent component analysis; signal-noise ratio; single channel speech enhancement; speech enhancement algorithm; speech separation; Additive noise; Blind source separation; Educational institutions; Independent component analysis; Noise reduction; Signal processing; Signal processing algorithms; Speech analysis; Speech enhancement; Speech processing; Blind sources separation; Independent component analysis; speech enhancement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.76
  • Filename
    5365859