Modulation and chaotic acoustic features for speech recognition

Dimitriadis, D; Maragos, P; Pitsikalis, V; Potamianos, A

dc.contributor.author	Dimitriadis, D	en
dc.contributor.author	Maragos, P	en
dc.contributor.author	Pitsikalis, V	en
dc.contributor.author	Potamianos, A	en
dc.date.accessioned	2014-03-01T01:51:55Z
dc.date.available	2014-03-01T01:51:55Z
dc.date.issued	2002	en
dc.identifier.issn	14801752	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26506
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0036315088&partnerID=40&md5=d606c3574c212fa6f13c89cdbd559448	en
dc.subject	Automatic speech recognition	en
dc.subject	Chaos	en
dc.subject	Modulation	en
dc.subject	Nonlinear speech processing	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	Modulation	en
dc.subject.other	Speech processing	en
dc.subject.other	Automatic speech recognition	en
dc.subject.other	Hidden Markov models	en
dc.subject.other	Nonlinear speech processing	en
dc.subject.other	Speech recognition	en
dc.title	Modulation and chaotic acoustic features for speech recognition	en
heal.type	journalArticle	en
heal.publicationDate	2002	en
heal.abstract	Automatic speech recognition systems can benefit from including into their acoustic processing part new features that account for various nonlinear and time-varying phenomena during speech production. In this article, we develop robust methods for extracting from speech signals novel acoustic features, of the modulation- and chaotic-type, based on nonlinear and time-varying models of speech. These new speech features are integrated with the standard linear ones (mel-frequency cesptrum) to develop a generalized hybrid set of acoustic features. The efficacy of this hybrid set is demonstrated by showing significant improvements in HMM-based phoneme recognition over the TIMIT database.	en
heal.journalName	Control and Intelligent Systems	en
dc.identifier.volume	30	en
dc.identifier.issue	1	en
dc.identifier.spage	19	en
dc.identifier.epage	26	en