A Two-Level Classification Scheme for CDHMM-Based Discrete-Utterance Recognition

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dc.contributor.authorNouza, J.
dc.coverage.issue1cs
dc.coverage.volume5cs
dc.date.accessioned2016-05-06T10:22:48Z
dc.date.available2016-05-06T10:22:48Z
dc.date.issued1996-04cs
dc.description.abstractIn the paper a method of speeding up the response of a CDHMM based speech recognition system is introduced. The method, applicable for the recognition of discrete utterances, uses a two-level classification scheme. It consists in a fast match done with simplified models, followed by a final accurate match with a limited number of selected standard models. In this way the recognition time can be reduced by great deal without any significant loss of recognition accuracy. The method has been successfully applied in the design of real-time speech recognition systems operating with small and middle-size vocabularies.en
dc.formattextcs
dc.format.extent25-28cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 1996, vol. 5, č. 1, s. 25-28. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58406
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/1996/96_01_06.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectspeech recognitionen
dc.subjecthidden Markov modelen
dc.subjectcontinuous density HMMen
dc.titleA Two-Level Classification Scheme for CDHMM-Based Discrete-Utterance Recognitionen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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