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
Link To Document :
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