Robust energy demodulation based on continuous models with application to speech recognition

Dimitriadis, D; Maragos, P

dc.contributor.author	Dimitriadis, D	en
dc.contributor.author	Maragos, P	en
dc.date.accessioned	2014-03-01T01:52:51Z
dc.date.available	2014-03-01T01:52:51Z
dc.date.issued	2003	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26750
dc.relation.uri	http://cvsp.cs.ntua.gr/publications/confr/DimitriadisMaragos_ContinDemodSpeecRecgn_Eurospeech2003.pdf	en
dc.relation.uri	http://www.isca-speech.org/archive/eurospeech_2003/e03_2853.html	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/interspeech/interspeech2003.html#DimitriadisM03	en
dc.subject	Continuous Time Models	en
dc.subject	Speech Recognition	en
dc.title	Robust energy demodulation based on continuous models with application to speech recognition	en
heal.type	journalArticle	en
heal.publicationDate	2003	en
heal.abstract	In this paper, we develop improved schemes for si- multaneous speech interpolation and demodulation based on continuous-time models. This leads to robust algorithms to estimate the instantaneous amplitudes and frequencies of the speech resonances and extract novel acoustic features for ASR. The continous-time models retain the excellent time resolution of the ESAs based on discrete energy operators and perform better	en