The speaker adaptation of an acoustic model

dc.contributor.authorMachlica, Lukáš
dc.contributor.authorZajíc, Zbyněk
dc.date.accessioned2015-12-17T07:48:55Z
dc.date.available2015-12-17T07:48:55Z
dc.date.issued2007
dc.description.abstractTento článek popisuje několik adaptačních metod. Každá z metod přináší různé výhody.Zabývali jsme se i jejich kombinacemi. Byly použity metody MAP, MLLR a CMLLR. Všechny modely jsou založeny na HMM přístupu.cs
dc.description.abstract-translatedThis paper deals with several adaptation techniques, which are of the importance in cases when the identity of a speaker is known and we want to recognize his speech. Each of the methods yields various benefits, therefore we examined their combination. This approach brought further error rate decreasing. We are using three different methods, namely Maximum Apriori Probability adaptation, Maximum Likelihood Linear Regression and Constrained Maximum Likelihood Linear Regression. All acoustic models are based on the Hiden Markov Model.en
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationMACHLICA, Lukáš; ZAJÍC, Zbyněk. The speaker adaptation of an acoustic model. In: The 1st Young Researchers Conference on Applied Sciences: conference proceedings book: 13 November 2007 University of West Bohemia. PlzeĹ: ZápadoÄŤeská univerzita v Plzni, 2007, s. 212-217. ISBN 978-80-7043-574-8.en
dc.identifier.isbn978-80-7043-574-8
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/MachlicaL_2007_TheSpeaker
dc.identifier.urihttp://hdl.handle.net/11025/17037
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.rights.accessopenAccessen
dc.subjectadaptacecs
dc.subjectMAPcs
dc.subjectMLLRcs
dc.subjectCMLLRcs
dc.subjectcombinationcs
dc.subject.translatedadaptationen
dc.subject.translatedMAPen
dc.subject.translatedMLLRen
dc.subject.translatedCMLLRen
dc.subject.translatedcombinationen
dc.titleThe speaker adaptation of an acoustic modelen
dc.title.alternativeAdaptace akustického modelucs
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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