Smoothing factor in discriminative feature adaptation

dc.contributor.authorZajíc, Zbyněk
dc.date.accessioned2015-12-10T10:36:30Z
dc.date.available2015-12-10T10:36:30Z
dc.date.issued2010
dc.description.abstract-translatedWhile the ML criterion try to maximize the likelihood of the observation states sequence given the correct transcriptions, the DT criteria reflect the recognition error and try to minimized it. Maximum Mutual Information (MMI) criterion in Yu (2006) is one of the DT possibilities. The main problem consists in the optimization process, where mainly the weak-sense auxiliary function is used. Regrettably, it does not guarantee the convergence of the discriminative criterion. In order to adjust the stability of discriminative criteria a smoothing term is involved. Another criteria are e.g. Minimum Phone Error (MPE) or Minimum Classification Error (MCE).en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationZAJÍC, Zbyněk; MACHLICA, Lukáš; MÜLLER, Luděk. Initialization of adaptation by sufficient statistics using phonetic tree. In: IEEE 11th international conference on signal processing. Beijing: IEEE Press, 2012, p. 503-506.en
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/ZbynekZajic_2010_SMOOTHINGFACTORIN
dc.identifier.urihttp://hdl.handle.net/11025/16952
dc.language.isoenen
dc.publisher[S. n.]cs
dc.rights© Zbyněk Zajíccs
dc.rights.accessopenAccessen
dc.subjectdiskriminativní trénovánícs
dc.subjectadaptacecs
dc.subjectvyhlazovací faktorcs
dc.subject.translateddiscriminative trainingen
dc.subject.translatedadaptationen
dc.subject.translatedsmoothing factoren
dc.titleSmoothing factor in discriminative feature adaptationen
dc.title.alternativeVyhlazovací faktor v diskriminativní adaptaci vektoru pozorovánícs
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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