• DocumentCode
    779832
  • Title

    Regularization techniques for discrete cepstrum estimation

  • Author

    Cappé, Olivier ; Moulines, Eric

  • Author_Institution
    Dept. Signal, Ecole Nat. Superieure des Telecommun., Paris, France
  • Volume
    3
  • Issue
    4
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    100
  • Lastpage
    102
  • Abstract
    Traditional spectral envelope estimation methods suffer from significant drawbacks in (high-pitched) voiced segments: spectral peaks tend to be biased toward pitch harmonics. To alleviate this drawback, discrete modeling techniques have been proposed. The discrete cepstrum method consists in fitting a spectral envelope parameterized by cepstrum coefficients to a discrete set of spectral points using a log-spectral distortion criterion. Unfortunately, this estimation problem is ill conditioned in many cases of interest. The article introduces a simple regularization technique that guarantees that the spectral envelope is well behaved. A modification of the basic regularization criterion is proposed in order to take into account a possible prior knowledge of the spectral tilt of the envelope.
  • Keywords
    cepstral analysis; parameter estimation; speech processing; cepstrum coefficients; discrete cepstrum estimation; discrete cepstrum method; discrete modeling techniques; high pitched voiced segments; ill conditioned problem; log-spectral distortion criterion; parametric model; pitch harmonics; regularization criterion; regularization techniques; spectral envelope estimation methods; spectral peaks; spectral tilt; Amplitude estimation; Cepstral analysis; Cepstrum; Computational complexity; Frequency estimation; Frequency measurement; Parameter estimation; Parametric statistics; Power harmonic filters;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.489060
  • Filename
    489060