• DocumentCode
    390481
  • Title

    Pitch detection of nosy speech signal based on Bark wavelet transform

  • Author

    Heming, Zhao ; Qi, Zhu ; Yibiao, Yu ; Xueqin, Chen

  • Author_Institution
    Dept. of Commun. & Electron. Eng., Suzhou Univ., China
  • Volume
    1
  • fYear
    2002
  • fDate
    26-30 Aug. 2002
  • Firstpage
    418
  • Abstract
    On the basis of psychological acoustic theories and experiments, this paper introduces the concept of Bark wavelet, and applies it to pitch detection of noisy speech signals. Experimental results obtained indicate this method is more suitable for noisy speech signals than the classical pure autocorrelation method.
  • Keywords
    speech processing; wavelet transforms; Bark wavelet transform; noisy speech signal; pitch detection; psychological acoustics; speech processing; Acoustic noise; Acoustic signal detection; Acoustic waves; Frequency domain analysis; Speech analysis; Speech enhancement; Speech processing; Wavelet domain; Wavelet transforms; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2002 6th International Conference on
  • Print_ISBN
    0-7803-7488-6
  • Type

    conf

  • DOI
    10.1109/ICOSP.2002.1181079
  • Filename
    1181079