DocumentCode :
3523029
Title :
Parameter sensitivity and robust estimation in an ARX model with glottal excitation
Author :
Cheng, Yan Ming ; O´Shaughnessy, Douglas
Author_Institution :
INRS-Telecommun., Quebec Univ., Verdun, Que., Canada
fYear :
1989
fDate :
23-26 May 1989
Firstpage :
564
Abstract :
The authors demonstrate theoretically that an ARX model with glottal excitation can take into account segmentation error, but this introduces a perturbation of model parameters. A practical investigation of parameter sensitivity due to the error is reported. The parameter sensitivity can be viewed in terms of the robustness of the estimation process. The authors present a robust estimation procedure to decrease the sensitivity without an increase in computation
Keywords :
speech analysis and processing; ARX model; glottal excitation; parameter sensitivity; robust estimation; segmentation error; speech models; Business; Costs; Linear predictive coding; Natural languages; Nonlinear filters; Predictive models; Robustness; Speech coding; Speech enhancement; Speech processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1989.266489
Filename :
266489
Link To Document :
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