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Cited 5 time in webofscience Cited 8 time in scopus
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dc.contributor.authorJinsik Lee-
dc.contributor.authorLee, GG-
dc.date.accessioned2016-04-01T08:20:17Z-
dc.date.available2016-04-01T08:20:17Z-
dc.date.created2014-02-10-
dc.date.issued2009-10-
dc.identifier.issn0885-2308-
dc.identifier.other2009-OAK-0000019492-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/27749-
dc.description.abstractThis paper presents a data-driven Korean grapheme-to-phoneme conversion method including alignment, rule extraction, and rule pruning procedures. Novel rule extraction and pruning techniques are introduced to effectively handle the exceptional pronunciation of speech databases. The performances with the full rules and the reduced rules are 99.22% and 99.11% phoneme level accuracy, respectively. Compared with state-of-the-art previous works, the experimental results show that our method is very promising. (C) 2009 Elsevier Ltd. All rights reserved.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherACADEMIC PRESS LTD ELSEVIER SCIENCE LTD-
dc.relation.isPartOfCOMPUTER SPEECH AND LANGUAGE-
dc.subjectGrapheme-to-phoneme conversion-
dc.subjectLetter-to-sound rules-
dc.subjectKorean TTS systems-
dc.titleA data-driven grapheme-to-phoneme conversion method using dynamic contextual converting rules for Korean TTS systems-
dc.typeArticle-
dc.contributor.college컴퓨터공학과-
dc.identifier.doi10.1016/J.CSL.2009.01.001-
dc.author.googleLee, J-
dc.author.googleLee, GG-
dc.relation.volume23-
dc.relation.issue4-
dc.relation.startpage423-
dc.relation.lastpage434-
dc.contributor.id10103841-
dc.relation.journalCOMPUTER SPEECH AND LANGUAGE-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCIE-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationCOMPUTER SPEECH AND LANGUAGE, v.23, no.4, pp.423 - 434-
dc.identifier.wosid000266536400002-
dc.date.tcdate2019-02-01-
dc.citation.endPage434-
dc.citation.number4-
dc.citation.startPage423-
dc.citation.titleCOMPUTER SPEECH AND LANGUAGE-
dc.citation.volume23-
dc.contributor.affiliatedAuthorLee, GG-
dc.identifier.scopusid2-s2.0-67349116318-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc2-
dc.description.scptc3*
dc.date.scptcdate2018-05-121*
dc.type.docTypeArticle-
dc.subject.keywordAuthorGrapheme-to-phoneme conversion-
dc.subject.keywordAuthorLetter-to-sound rules-
dc.subject.keywordAuthorKorean TTS systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-

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