• DocumentCode
    2733799
  • Title

    Melody Information Extraction of Humming Based on Wavelet Analysis

  • Author

    Gao, Ping ; Teng, Guifa ; Yang, Duanli ; Zhao, Yang ; Liu, Yihong

  • Author_Institution
    Agric. Univ. of Hebei, Baoding
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    38
  • Lastpage
    38
  • Abstract
    Aiming at the problem of the low ability of anti-noise and easily affected by formant when pitch period is extracted from melody using the traditional autocorrelation function. A method, making use of the band-pass property of the wavelet transform, combining the wavelet analysis with autocorrelation function to extract melody characters from the humming signal, is proposed. The experiment shows that this method can enforce the anti-noise in the extraction of the pitch, and reduce the influence of the formant. In the experiment the melody characteristics are extracted from two kinds of humming way. It is proved that this method is effective.
  • Keywords
    correlation methods; information retrieval; music; speech processing; wavelet transforms; autocorrelation function; humming signal; music melody information extraction; wavelet analysis; Autocorrelation; Data mining; Frequency estimation; Information analysis; Information science; Music information retrieval; Speech; Time domain analysis; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.382
  • Filename
    4427683