• DocumentCode
    3211673
  • Title

    Speech enhancement using bionic wavelet transform and adaptive threshold function

  • Author

    Xi, Yang ; Bing-Wu, Liu ; Fang, Yan

  • Author_Institution
    Sch. of Inf., Beijing Wuzi Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 Sept. 2010
  • Firstpage
    265
  • Lastpage
    268
  • Abstract
    By the use of the Bionic Wavelet Transform and adaptive threshold function, this paper presents an improved wavelet-based speech enhancement method, Adaptive Bionic Wavelet Speech Enhancement. Due to the integration of human auditory system model into the wavelet transform, the main advantage of the proposed method is that the over thresholding of speech segments which is usually occurred in conventional wavelet-based speech enhancement schemes can be avoided. Then it can track the variation of noisy speech without the estimation of the a priori knowledge of SNR. As a consequence, the enhanced speech quality of the proposed method can be increased substantially from those of conventional approaches.
  • Keywords
    biocybernetics; speech enhancement; wavelet transforms; adaptive bionic wavelet speech enhancement; adaptive threshold function; bionic wavelet transform; enhanced speech quality; human auditory system model; noisy speech; Noise measurement; Production facilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing Proceedings (CINC), 2010 Second International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7705-0
  • Type

    conf

  • DOI
    10.1109/CINC.2010.5643844
  • Filename
    5643844