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College of Engineering(공과대학)School of Electrical Engineering(전기및전자공학부)EE-Journal Papers(저널논문)

SEGMENTAL CORRECTIVE TRAINING FOR HIDDEN MARKOV MODEL PARAMETER-ESTIMATION IN SPEECH RECOGNITION

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dc.contributor.authorKim, HoiRinko
dc.contributor.authorLEE, HSko
dc.date.accessioned2011-01-05T05:24:28Z-
dc.date.available2011-01-05T05:24:28Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1991-08-
dc.identifier.citationELECTRONICS LETTERS, v.27, no.18, pp.1633 - 1635-
dc.identifier.issn0013-5194-
dc.identifier.urihttp://hdl.handle.net/10203/21381-
dc.description.abstractA modified corrective training method using state segment informations in the hidden Markov model is presented. The proposed algorithm is shown to result in a higher recognition rate than the conventional corrective training method and requires less computation.-
dc.languageEnglish-
dc.language.isoen_USen
dc.publisherIEE-INST ELEC ENG-
dc.titleSEGMENTAL CORRECTIVE TRAINING FOR HIDDEN MARKOV MODEL PARAMETER-ESTIMATION IN SPEECH RECOGNITION-
dc.typeArticle-
dc.identifier.wosidA1991GE10600019-
dc.identifier.scopusid2-s2.0-0026203391-
dc.type.rimsART-
dc.citation.volume27-
dc.citation.issue18-
dc.citation.beginningpage1633-
dc.citation.endingpage1635-
dc.citation.publicationnameELECTRONICS LETTERS-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKim, HoiRin-
dc.contributor.nonIdAuthorLEE, HS-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorSPEECH RECOGNITION-
dc.subject.keywordAuthorMODELING-
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EE-Journal Papers(저널논문)
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