• DocumentCode
    310622
  • Title

    Spectral correlates of glottal waveform models: an analytic study

  • Author

    Doval, Boris ; D´Alessandro, Christophe

  • Author_Institution
    Lab. d´´Inf. pour la Mecanique et les Sci. de l´´Ingenieur, CNRS, Orsay, France
  • Volume
    2
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    1295
  • Abstract
    This paper deals with the spectral representation of the glottal flow. The LF and the KLGLOTT88 models of the glottal flow are studied. We compute analytically the spectrum of the LF-model. Then, formulas are given for computing spectral tilt and amplitudes of the first harmonics as functions of the LF-model parameters. We consider the spectrum of the KLGLOTT88 model. It is shown that this model can be modeled in the spectral domain by an all-pole third-order linear filter. Moreover, the anticausal impulse response of this filter is a good approximation of the glottal flow model. Parameter estimation seems easier in the spectral domain. Therefore our results can be used for modification of the (hidden) glottal flow characteristic of natural speech signals, by processing directly the spectrum, without needing time-domain parameter estimation
  • Keywords
    correlation methods; filtering theory; harmonic analysis; parameter estimation; spectral analysis; speech processing; transient response; KLGLOTT88 models; LF model parameters; all-pole third-order linear filter; anticausal impulse response; first harmonics; glottal flow; glottal flow model; glottal waveform models; hidden glottal flow characteristic; natural speech signals; parameter estimation; spectral amplitudes; spectral correlates; spectral domain; spectral representation; spectral tilt; spectrum processing; Analytical models; Frequency; Natural languages; Noise level; Nonlinear filters; Power harmonic filters; Signal processing; Signal synthesis; Speech synthesis; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.596183
  • Filename
    596183