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dc.contributor.authorRadová, Vlasta
dc.contributor.authorŠvenda, Zdeněk
dc.date.accessioned2015-12-14T13:27:37Z
dc.date.available2015-12-14T13:27:37Z
dc.date.issued1999
dc.identifier.citationRADOVÁ, Vlasta; ŠVENDA, Zdeněk. Speaker identification based on vector quantization. In: Text, speech and dialogue. Berlin: Springer, 1999, p. 341-344. (Lecture notes in computer science; 1692). ISBN 3-540-66494-7.en
dc.identifier.isbn3-540-66494-7
dc.identifier.urihttp://www.kky.zcu.cz/cs/publications/RadovaV_1999_SpeakerIdenti
dc.identifier.urihttp://hdl.handle.net/11025/16996
dc.format4 s.
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherSpringeren
dc.rights© Vlasta Radová - Zdeněk Švendacs
dc.subjectidentifikace řečníkacs
dc.subjectvektorová kvantizacecs
dc.titleSpeaker identification based on vector quantizationen
dc.title.alternativeIdentifikace řečníka na základě vektorové kvantizacecs
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper a method of text-independent speaker recognition using discrete vector quantization is presented. The identification experiments were performed in a closed set of 599 speakers and two various types of features were tested: cepstral mean subtraction coeficients and mel-frequency cepstral coeficients. The effect of the various codebook size on the speaker identification performance was investigated.en
dc.subject.translatedspeaker identificationen
dc.subject.translatedvector quantizationen
dc.type.statusPeer-revieweden
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