• DocumentCode
    3590009
  • Title

    A Parametric Method for Pitch Estimation of Piano Tones

  • Author

    Emiya, Valentin ; David, Barak ; Badeau, Roland

  • Author_Institution
    Dept. of TSI, Ecole Nat. Superieure des Telecommun., Paris, France
  • Volume
    1
  • fYear
    2007
  • Abstract
    The efficiency of most pitch estimation methods declines when the analyzed frame is shortened and/or when a wide fundamental frequency (Fo) range is targeted. The technique proposed herein jointly uses a periodicity analysis and a spectral matching process to improve the fo estimation performance in such an adverse context: a 60 ms-long data frame together with the whole, 71/4-octaves, piano tessitura. The enhancements are obtained thanks to a parametric approach which, among other things, models the inharmonicity of piano tones. The performance of the algorithm is assessed, is compared to the results obtained from other estimators and is discussed in order to characterize their behavior and typical misestimations.
  • Keywords
    acoustic signal processing; fundamental frequency; parametric method; performance estimation; periodicity analysis; piano tones; pitch estimation methods; spectral matching process; Acoustic noise; Amplitude estimation; Computational efficiency; Damping; Filter bank; Frequency domain analysis; Frequency estimation; Performance analysis; Spectral analysis; White noise; audio processing; pitch estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366663
  • Filename
    4217063