MAP Based Speaker Adaptation in Very Large Vocabulary Speech Recognition of Czech

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dc.contributor.authorČerva, Petr
dc.contributor.authorNouza, Jan
dc.date.accessioned2016-05-24
dc.date.available2016-05-24
dc.date.issued2004
dc.description.abstractThe paper deals with the problem of efficient adaptation of speech recognition systems to individual users. The goal is to achieve better performance in specific applications where one known speaker is expected. In our approach we adopt the MAP (Maximum A Posteriori) method for this purpose. The MAP based formulae for the adaptation of the HMM (Hidden Markov Model) parameters are described. Several alternative versions of this method have been implemented and experimentally verified in two areas, first in the isolated-word recognition (IWR) task and later also in the large vocabulary continuous speech recognition (LVCSR) system, both developed for the Czech language. The results show that the word error rate (WER) can be reduced by more than 20% for a speaker who provides tens of words (in case of IWR) or tens of sentences (in case of LVCSR) for the adaptation. Recently, we have used the described methods in the design of two practical applications: voice dictation to a PC and automatic transcription of radio and TV news.en
dc.description.sponsorshipGrant Agency of the Czech Republic [102/02/0124]; MSM 242200001
dc.formattext
dc.identifier.issn1210-2512
dc.identifier.scopus2-s2.0-84868255099
dc.identifier.urihttps://dspace.tul.cz/handle/15240/16366
dc.identifier.urihttps://www.radioeng.cz/fulltexts/2004/04_03_42_46.pdf
dc.language.isoen
dc.publisherSpolecnost Pro Radioelektronicke Inzenyrstvi
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.relation.ispartofRadioengineeringen
dc.sourcej-scopus
dc.sourcej-wok
dc.subjectSpeech recognitionen
dc.subjectspeaker adaptationen
dc.subjectmaximum a posteriori methoden
dc.subjecthidden Markov modelsen
dc.titleMAP Based Speaker Adaptation in Very Large Vocabulary Speech Recognition of Czechen
dc.typeArticle
local.accessοpen
local.citation.epage46
local.citation.spage42
local.departmentDepartment of Electronics and Signal Processing
local.facultyFaculty of Mechatronics, Informatics and Interdisciplinary Studies
local.fulltextyes
local.identifier.stagRIV/46747885:24220/04:00000110
local.identifier.wok208050000009
local.relation.issue3
local.relation.volume13
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