• DocumentCode
    3530047
  • Title

    Glottal closure instant detection using Lines of Maximum Amplitudes (LOMA) of thewavelet transform

  • Author

    Sturmel, Nicolas ; d´Alessandro, C. ; Rigaud, Francois

  • Author_Institution
    LIMSI/CNRS, Orsay
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    4517
  • Lastpage
    4520
  • Abstract
    The Lines Of Maximum Amplitude (LOMA) of the wavelet transform are used for glottal closure instant detection. Following Kadambe & al. (1992), the wavelet transform modulus maxima can be used for singularity detection. The LOMA method extends this idea. All the lines chaining maxima of a wavelet transform across scales are built. Then a back-tracking procedure allows for selection of the optimal line for each pitch period, the top of which indicates the GCI. The LOMA method is then evaluated by comparing its results to the DYPSA (Naylor & al.) algorithm, with the option of using inverse filtering as preprocessing. The LOMA method compares favorably to DYPSA, particularly on accuracy. One of the advantage of the LOMA method is its ability to deal with variations in the glottal source parameters.
  • Keywords
    signal detection; speech processing; wavelet transforms; Glottal closure instant detection; back-tracking procedure; lines-of-maximum amplitude; pitch period; singularity detection; speech processing; wavelet transform modulus maxima; Delay; Filtering algorithms; Frequency synthesizers; Linear predictive coding; Nonlinear filters; Robustness; Speech analysis; Speech processing; Speech synthesis; Wavelet transforms; EGG; GCI; Pitch Marks; Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960634
  • Filename
    4960634