Discrete all-pole modeling

Author

El-Jaroudi, Amro ; Makhoul, John

Author_Institution

Dept. of Electr. Eng., Pittsburgh Univ., PA, USA

Volume

39

Issue

2

fYear

1991

fDate

2/1/1991 12:00:00 AM

Firstpage

411

Lastpage

423

Abstract

A method for parametric modeling and spectral envelopes when only a discrete set of spectral points is given is introduced. This method, called discrete all-pole (DAP) modeling, uses a discrete version of the Itakura-Saito distortion measure as its error criterion. One result is an autocorrelation matching condition that overcomes the limitations of linear prediction and produces better fitting spectral envelopes for spectra that are representable by a relatively small discrete set of values, such as in voiced speech. An iterative algorithm for DAP modeling that is shown to converge to a unique global minimum is presented. Results of applying DAP modeling to real and synthetic speech are also presented. DAP modeling is extended to allow frequency-dependent weighting of the error measure, so that spectral accuracy can be enhanced in certain frequency regions

Keywords

convergence of numerical methods; iterative methods; poles and zeros; spectral analysis; speech analysis and processing; speech synthesis; Itakura-Saito distortion measure; autocorrelation matching condition; discrete all-pole modeling; discrete set; error criterion; error measure; frequency regions; frequency-dependent weighting; iterative algorithm; parametric modeling; real speech; signal processing; spectral accuracy; spectral envelopes; spectral points; synthetic speech; unique global minimum; voiced speech; Autocorrelation; Digital audio players; Distortion measurement; Frequency; Iterative algorithms; Nonlinear filters; Parametric statistics; Power harmonic filters; Prediction methods; Speech;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.80824

Filename

80824