Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents

Pitsikalis, V; Kokkinos, I; Maragos, P

dc.contributor.author	Pitsikalis, V	en
dc.contributor.author	Kokkinos, I	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:52:47Z
dc.date.available	2014-03-01T01:52:47Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26723
dc.relation.uri	http://cvsp.cs.ntua.gr/publications/confr/PitsikalisKokinosMaragos_NonlinSpeecGDimLE_Eurospeech2003.pdf	en
dc.relation.uri	http://www.iesk.ovgu.de/iniesk_media/bilder/ks/publications/pickings/eurospeech_2003_geneva/es030690.pdf	en
dc.relation.uri	http://www.isca-speech.org/archive/eurospeech_2003/e03_0817.html	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/interspeech/interspeech2003.html#PitsikalisKM03	en
dc.subject	Chaotic System	en
dc.subject	Fractal Dimension	en
dc.subject	lyapunov exponent	en
dc.subject	Nonlinear Analysis	en
dc.subject	Phase Space	en
dc.title	Nonlinear analysis of speech signals: generalized dimensions and lyapunov exponents	en
heal.type	journalArticle	en
heal.publicationDate	2003	en
heal.abstract	In this paper, we explore modern methods and algorithms from fractal/chaotic systems theory for modeling speech signals in a multidimensional phase space and extracting characteristic in- variant measures like generalized fractal dimensions and Lya- punov exponents. Such measures can capture valuable informa- tion for the characterisation of the multidimensional phase space - which is closer to the true dynamics -	en