• DocumentCode
    477160
  • Title

    A kind of modified speech enhancement algorithm based on wavelet package transformation

  • Author

    Zhang, L.H. ; Rong, G.F.

  • Author_Institution
    Coll. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    30-31 Aug. 2008
  • Firstpage
    421
  • Lastpage
    425
  • Abstract
    The framework of traditional speech enhancement algorithm based on the wavelet package transformation is composed of three parts, which lies in the decomposition to the noisy speech signal based on wavelet package transformation (WPD), the denoising to the coefficients of wavelet decomposition and the reconstruction of the clean speech signal. The proposed algorithm focuses on three points to improve the performance of the traditional speech enhancement algorithm. In the first part, special decomposition of the wavelet package is adopted to mimic the model of the human ears (WPDHE). In the second part, the adaptive thresh estimation (ATHRSH) and the combination of soft threshold and the modified hard threshold functions (CSMHDF) are used. The experiments prove that this algorithm is more sufficient than the traditional speech enhancement algorithm.
  • Keywords
    signal denoising; signal reconstruction; speech enhancement; wavelet transforms; adaptive thresh estimation; hard threshold function; noisy speech signal; signal denoising; soft threshold function; speech enhancement algorithm; speech signal reconstruction; wavelet decomposition; wavelet package transformation; Ear; Frequency conversion; Humans; Information analysis; Noise reduction; Packaging; Pattern analysis; Speech analysis; Speech enhancement; Wavelet analysis; Soft threshold function; Speech enhancement; U-law threshold function; Wavelet package decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-2238-8
  • Electronic_ISBN
    978-1-4244-2239-5
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2008.4635816
  • Filename
    4635816