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dc.contributor.authorPadrta, Aleš
dc.contributor.authorRadová, Vlasta
dc.date.accessioned2015-12-15T09:41:38Z
dc.date.available2015-12-15T09:41:38Z
dc.date.issued2003
dc.identifier.citationPADRTA, Aleš; RADOVÁ, Vlasta. On the amount of speech data necessary for successful speaker identification. In: Eurospeech 2003 - Interspeech: proceedings of the 8th European Conference on Speech Communication and Technology, 1-4 September 2003, Geneva, Switzerland. [Baixas]: ISCA, 2003, p. 301-304. ISSN 1018-4074.en
dc.identifier.issn1018-4074
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/PadrtaA_2003_Ontheamountof_1
dc.identifier.urihttp://hdl.handle.net/11025/17006
dc.description.abstractČlánek pojednává o závislosti mezi identifikací řečníka a množstvím dat pro testování. V článku jsou prezentovány tři identifikační procedury.cs
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherISCAen
dc.rights© Aleš Padrta - Vlasta Radovács
dc.subjectidentifikace řečníkacs
dc.subjectuzavřená množinacs
dc.subjectredukce množství testovacích datcs
dc.subjectpřístup založený na HMMcs
dc.titleOn the amount of speech data necessary for successful speaker identificationen
dc.title.alternativePorovnání několika procedur verifikace řečníka založených na GMMcs
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe paper deals with the dependence between the speaker identification performance and the amount of test data. Three speaker identification procedures based on hidden Markov models (HMMs) of phonemes are presented here. One, which is quite commonly used in the speaker recognition systems based on HMMs, uses the likelihood of the whole utterance for speaker identification. The other two that are proposed in this paper are based on the majority voting rule. The experiments were performed for two different situations: either both training and test data were obtained from the same channel, or they were obtained from different channels. All experiments show that the proposed speaker identification procedure based on the majority voting rule for sequences of phonemes allows us to reduce the amount of test data necessary for successful speaker identification.en
dc.subject.translatedspeaker identificationen
dc.subject.translatedclosed seten
dc.subject.translatedreduction of amount of test dataen
dc.subject.translatedHMM based approachen
dc.type.statusPeer-revieweden
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