Title: Initialization of adaptation by sufficient statistics using phonetic tree
Authors: Zajíc, Zbyněk
Machlica, Lukáš
Müller, Luděk
Issue Date: 2012
Publisher: IEEE Press
Document type: článek
URI: http://www.kky.zcu.cz/cs/publications/ZbynekZajic_2012_Initializationof
Keywords: rozpoznávání řeči;adaptace;inicializace;fonetický strom
Keywords in different language: speech recognition;adaptation;initialization;phonetic tree
Abstract: Článek popisuje řešení problému malého mknožství dat pro fMLLR adaptaci. Navrhuje inicializaci statistik z dat od nejbližších řečníků s využitím informace o fonetické příslušnosti.
Abstract in different language: In this work we deal with the problem of small amount of data when estimating a feature transformation for the speaker adaptation of an acoustic model. Our goal is to compensate for the lack of adaptation data by a proper initialization of transformation matrices. Methods used in such situations are described, they are based on collecting additional accumulated statistics from nearest speakers. The proposed initialization approach is based on accumulated statistics too, but it incorporates also phonetic information when selecting the “nearest” statistics. Initialization methods compensating for the absence of actual speaker’s data are tested on telephone recordings with different amounts of adaptation data. In worst situation with extremely small amount of adaptation data relative improvement of 5% is obtained.
Rights: © Zajíc, Zbyněkc - Lukáš Machlica - Luděk Müller
Appears in Collections:Články / Articles (KKY)
Články / Articles (NTIS)

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/16949

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