Adaptive estimation of time-varying model order in the ARMA speech analysis

Author

Morikawa, Hiroyoshi

Author_Institution

Fac. of Eng., Tokyo Univ., Japan

Volume

38

Issue

7

fYear

1990

fDate

7/1/1990 12:00:00 AM

Firstpage

1073

Lastpage

1083

Abstract

A technique for estimating the numbers of poles and zeros of the vocal tract transfer function in speech analysis is proposed based on the simultaneous estimation of autoregressive moving average parameters (SEARMA) method. The problem is solved using statistical decision theory as well as physical properties of the speech production process. The detection of zeros can be controlled by the choice of an appropriate cost function, and the interframe correlation can be taken into account by introducing the a priori probability. The validity of the proposed method is demonstrated by analysis of both synthetic and natural speech sounds

Keywords

decision theory; parameter estimation; poles and zeros; speech analysis and processing; transfer functions; ARMA; SEARMA; a priori probability; adaptive estimation; cost function; interframe correlation; natural speech; poles and zeros; simultaneous estimation of autoregressive moving average parameters; speech analysis; speech production process; statistical decision theory; synthetic speech; time-varying model order; vocal tract transfer function; Adaptive estimation; Autoregressive processes; Cost function; Decision theory; Natural languages; Poles and zeros; Probability; Speech analysis; Speech processing; Transfer functions;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.57536

Filename

57536