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Estimation of general identifiable linear dynamic models with an application in speech recognition

Tsontzos Georgios , Diakoloukas Vasilis, Koniaris, Christos, 1979-, Digalakis Vasilis

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URIhttp://purl.tuc.gr/dl/dias/DD5D0269-6830-4FB8-8778-977FC068EAEE-
Identifierhttps://doi.org/10.1109/ICASSP.2007.366947-
Identifierhttp://ieeexplore.ieee.org/abstract/document/4218135/-
Languageen-
TitleEstimation of general identifiable linear dynamic models with an application in speech recognitionen
CreatorTsontzos Georgios en
CreatorDiakoloukas Vasilisen
CreatorΔιακολουκας Βασιλeioςel
CreatorKoniaris, Christos, 1979-en
CreatorDigalakis Vasilisen
CreatorΔιγαλακης Βασιληςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryAlthough hidden Markov models (HMMs) provide a relatively efficient modeling framework for speech recognition, they suffer from several shortcomings which set upper bounds in the performance that can be achieved. Alternatively, linear dynamic models (LDM) can be used to model speech segments. Several implementations of LDM have been proposed in the literature. However, all had a restricted structure to satisfy identifiability constraints. In this paper, we relax all these constraints and use a general, canonical form for a linear state-space system that guarantees identifiability for arbitrary state and observation vector dimensions. For this system, we present a novel, element-wise maximum likelihood (ML) estimation method. Classification experiments on the AURORA2 speech database show performance gains compared to HMMs, particularly on highly noisy conditions. en
Type of ItemΔημοσίευση σε Συνέδριοel
Type of ItemConference Publicationen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-08-
Date of Publication2007-
SubjectHMMs (Hidden Markov models)en
Subjecthidden markov modelsen
Subjecthmms hidden markov modelsen
SubjectMechanical speech recognizeren
SubjectSpeech recognition, Automaticen
Subjectautomatic speech recognitionen
Subjectmechanical speech recognizeren
Subjectspeech recognition automaticen
Bibliographic CitationG. Tsontzos, V. Diakoloukas, C. Koniaris and V. Digalakis, "Estimation of general identifiable linear dynamic models with an application in speech recognition," in 2007 IEEE Int. Conf. on Acoust., Speech and Sign. Process. (ICASSP) doi: 10.1109/ICASSP.2007.366947en

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