• DocumentCode
    3783602
  • Title

    Speech enhancement using adaptive wavelet shrinkage

  • Author

    I-Jae Kim; Sung-Il Yang;Y. Kwon

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Hanyang Univ., Ansan, South Korea
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    501
  • Abstract
    In this paper, the authors propose an adaptive wavelet threshold for noise cancellation. For this, they use a threshold value which minimizes Bayesian risk. And using entropy, they part the noisy signal into an unvoiced signal section and the other signal section is used to apply each the threshold value for each section. Experimental results show that proposed algorithm is more efficient.
  • Keywords
    "Speech enhancement","Bayesian methods","Minimax techniques","Wavelet domain","Discrete wavelet transforms","Noise cancellation","Wiener filter","Wavelet coefficients","Physics computing","Entropy"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on
  • Print_ISBN
    0-7803-7090-2
  • Type

    conf

  • DOI
    10.1109/ISIE.2001.931842
  • Filename
    931842
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3783602