• DocumentCode
    2930001
  • Title

    Fundamental frequency estimation for music signals with modified Hilbert-Huang transform (HHT)

  • Author

    Tsau, Enshuo ; Cho, Namgook ; Kuo, C. -C Jay

  • Author_Institution
    Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    338
  • Lastpage
    341
  • Abstract
    In this work, we propose a modified Hilbert-Huang transform (HHT) method to detect low pitch musical signals within a short analysis temporal window for real-time fundamental frequency estimation. HHT is a non-linear method which is suitable for the analysis of non-stationary AM/FM like data. However, to apply HHT directly to music signals encounters several problems. Here, we modify HHT so that it can be tailored to the short-window pitch analysis. It is shown by experimental results that the proposed HHT method performs significantly better than several benchmark schemes.
  • Keywords
    Hilbert transforms; acoustic signal detection; frequency estimation; music; fundamental frequency estimation; low pitch musical signal detection; modified Hilbert-Huang transform method; music signal processing; nonlinear method; nonstationary AM-FM analysis; short analysis temporal window; short-window pitch analysis; Autocorrelation; Frequency estimation; Image analysis; Image processing; Instruments; Multiple signal classification; Music information retrieval; Signal analysis; Signal processing; Speech recognition; Hilbert-Huang transform; emprical mode decomposition; fundamental frequency estimation; music signal processing; pitch analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-4290-4
  • Electronic_ISBN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICME.2009.5202503
  • Filename
    5202503