• DocumentCode
    3246856
  • Title

    Wavelet based speech enhancement using a new thresholding algorithm

  • Author

    Ayat, Saeed ; Manzuri, Mohammad T. ; Dianat, Roohollah

  • Author_Institution
    Dept. of Comput. Eng., Sharif Univ. of Technol., Tehran, Iran
  • fYear
    2004
  • fDate
    20-22 Oct. 2004
  • Firstpage
    238
  • Lastpage
    241
  • Abstract
    In this paper, wavelet based speech enhancement is considered. In this method, the noisy signal transfers to the wavelet domain. Then, by applying a thresholding algorithm, the wavelet coefficients can be improved. Finally, using the inverse wavelet transform, the enhanced signal can be obtained. We have presented a new method for the thresholding algorithm. We compared our algorithm with some of the most popular methods by several experimental tests. Both subjective and objective tests show better performance and achievement.
  • Keywords
    AWGN; signal denoising; speech enhancement; wavelet transforms; additive white Gaussian noise; thresholding denoising algorithm; wavelet based speech enhancement; wavelet transform coefficients; Discrete wavelet transforms; Noise reduction; Speech analysis; Speech enhancement; Speech processing; Testing; Wavelet coefficients; Wavelet domain; Wavelet transforms; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
  • Print_ISBN
    0-7803-8687-6
  • Type

    conf

  • DOI
    10.1109/ISIMP.2004.1434044
  • Filename
    1434044