Speech Segmentation Using Bayesian Autoregressive Changepoint Detector

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98_04_03.pdf(845.56 KB)
Date
1998-12
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Referee
Mark
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Volume Title
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Společnost pro radioelektronické inženýrství
Abstract
This submission is devoted to the study of the Bayesian autoregressive changepoint detector (BCD) and its use for speech segmentation. Results of the detector application to autoregressive signals as well as to real speech are given. BCD basic properties are described and discussed. The novel two-step algorithm consisting of cepstral analysis and BCD for automatic speech segmentation is suggested.
Description
Keywords
speech segmentation, sub-word boundaries, cepstral analysis, Bayesian methods, changepoint detector, autocorrelation
Citation
Radioengineering. 1998, vol. 7, č. 4, s. 14-17. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/1998/98_04_03.pdf
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Peer-reviewed
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Published version
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en
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Creative Commons Attribution 3.0 Unported License
http://creativecommons.org/licenses/by/3.0/
DOI
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http://hdl.handle.net/11012/58344
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1998/4
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