Speech analysis using discrete spectral modeling

Author

El-Jaroudi, Amro ; Makhoul, John

Author_Institution

Pittsburgh Univ., PA, USA

fYear

1989

fDate

14-16 Aug 1989

Firstpage

85

Abstract

A method for the parametric modeling of spectral envelopes when only a discrete set of spectral values is given, e.g. voiced speech, is introduced. This method, which is called discrete pole-zero (DPZ) modeling, uses a discrete version of the Itakura-Saito distortion measure as its error criterion. An efficient iterative algorithm for the estimation of the envelope parameters which is guaranteed to converge to a locally optimal model is introduced. How DPZ modeling can be applied to the estimation of real and synthetic speech spectral envelopes is shown

Keywords

iterative methods; poles and zeros; spectral analysis; speech analysis and processing; speech synthesis; DPZ modeling; Itakura-Saito distortion measure; discrete pole-zero; discrete spectral modeling; envelope parameters; error criterion; iterative algorithm; locally optimal model; parametric modeling; spectral envelopes; synthetic speech; voiced speech; Distortion measurement; Frequency estimation; Frequency measurement; Iterative algorithms; Parametric statistics; Poles and zeros; Predictive models; Speech analysis; Speech recognition; Speech synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on

Conference_Location

Champaign, IL

Type

conf

DOI

10.1109/MWSCAS.1989.101800

Filename

101800