Speech analysis and feature extraction using chaotic models

Pitsikalis, V; Maragos, P

dc.contributor.author	Pitsikalis, V	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T02:42:09Z
dc.date.available	2014-03-01T02:42:09Z
dc.date.issued	2002	en
dc.identifier.issn	07367791	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30824
dc.subject	Chaos Theory	en
dc.subject	Chaotic System	en
dc.subject	Feature Extraction	en
dc.subject	Nonlinear Dynamics	en
dc.subject	Nonlinear System	en
dc.subject	Phase Space	en
dc.subject	Speech Analysis	en
dc.subject	Speech Production	en
dc.subject	Word Recognition	en
dc.subject.other	Chaos theory	en
dc.subject.other	Feature extraction	en
dc.subject.other	Markov processes	en
dc.subject.other	Mathematical models	en
dc.subject.other	Speech recognition	en
dc.subject.other	Acoustic features	en
dc.subject.other	Chaotic models	en
dc.subject.other	Hidden Markov models	en
dc.subject.other	Speech analysis	en
dc.title	Speech analysis and feature extraction using chaotic models	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.2002.5743772	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.2002.5743772	en
heal.publicationDate	2002	en
heal.abstract	Nonlinear systems based on chaos theory can model various aspects of the nonlinear dynamic phenomena occuring during speech production. In this paper, we explore modern methods and algorithms from chaotic systems theory for modeling speech signals in a multidimensional phase space and for extracting nonlinear acoustic features. Further, we integrate these chaotic-type features with the standard linear ones (based on cepstrum) to develop a generalized hybrid set of short-time acoustic features for speech signals and demonstrate its efficacy by showing significant improvements in HMM-based word recognition.	en
heal.journalName	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings	en
dc.identifier.doi	10.1109/ICASSP.2002.5743772	en
dc.identifier.volume	1	en
dc.identifier.spage	I/533	en
dc.identifier.epage	I/536	en