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IMPROVED SYLLABLE-BASED CONTINUOUS MANDARINE SPEECH RECOGNITION USING INTERSYLLABLE BOUNDARY MODELS

dc.citation.epage854en_US
dc.citation.issue11en_US
dc.citation.spage853en_US
dc.citation.volume31en_US
dc.citation.woscount1
dc.contributor.authorCHANG, Sen_US
dc.contributor.authorCHEN, SHen_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.department電信研究中心zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.contributor.departmentCenter for Telecommunications Researchen_US
dc.date.accessioned2014-12-08T15:03:22Z
dc.date.available2014-12-08T15:03:22Z
dc.date.issued1995-05-25en_US
dc.description.abstractA novel approach to compensate for the intersyllable coarticulation effect on continuous Mandarin speech recognition by supplementing the syllable HMM models with intersyllable boundary models is proposed. Experimental results show that the syllable recognition errors of a speaker-dependent recognition task are reduced by 24%.en_US
dc.identifier.doi10.1049/el:19950629en_US
dc.identifier.issn0013-5194en_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.identifier.urihttp://dx.doi.org/10.1049/el:19950629en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/1914
dc.identifier.wosnumberWOS:A1995RC65600010
dc.language.isoen_USen_US
dc.subjectSPEECH RECOGNITIONen_US
dc.titleIMPROVED SYLLABLE-BASED CONTINUOUS MANDARINE SPEECH RECOGNITION USING INTERSYLLABLE BOUNDARY MODELSen_US
dc.typeArticleen_US

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