DocumentCode :
3032155
Title :
Arma modeling applied to linear prediction of speech
Author :
Cairns, Thomas W. ; Coberly, William A. ; Findley, David F.
Author_Institution :
University of Tulsa, Tulsa, Oklahoma
Volume :
3
fYear :
1978
fDate :
28581
Firstpage :
23
Lastpage :
26
Abstract :
Autoregressive Moving Average (ARMA) models present two problems in practice: (1) choice of the orders p and q of the AR and MA components respectively, and (2) estimation of the coefficients. Recently a new method of order selection or modeling of ARMA processes has been introduced by H. L. Gray and others in a yet unpublished paper "A New Approach to ARMA Modeling". In this paper we apply Gray\´s ARMA order selection method to a segment of voiced speech and compare the results to the models suggested by Akaike\´s Cannonical Correlation Analysis (CCA) and Information Criterion (AIC).
Keywords :
Autocorrelation; Autoregressive processes; Difference equations; Frequency domain analysis; Information analysis; Linear systems; Parameter estimation; Predictive models; Speech; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
Type :
conf
DOI :
10.1109/ICASSP.1978.1170477
Filename :
1170477
Link To Document :
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