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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><front><journal-meta><journal-id journal-id-type="publisher-id">INFORMATICA</journal-id><journal-title-group><journal-title>Informatica</journal-title></journal-title-group><issn pub-type="epub">0868-4952</issn><issn pub-type="ppub">0868-4952</issn><publisher><publisher-name>VU</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">INF6202</article-id><article-id pub-id-type="doi">10.3233/INF-1995-6202</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research article</subject></subj-group></article-categories><title-group><article-title>Speaker identification using vector quantization</article-title></title-group><contrib-group><contrib contrib-type="Author"><name><surname>Lipeika</surname><given-names>Antanas</given-names></name><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><contrib contrib-type="Author"><name><surname>Lipeikienė</surname><given-names>Joana</given-names></name><xref ref-type="aff" rid="j_INFORMATICA_aff_000"/></contrib><aff id="j_INFORMATICA_aff_000">Institute of Mathematics and Informatics, 2600 Vilnius, Akademijos St. 4, Lithuania</aff></contrib-group><pub-date pub-type="epub"><day>01</day><month>01</month><year>1995</year></pub-date><volume>6</volume><issue>2</issue><fpage>167</fpage><lpage>180</lpage><abstract><p>The use of vector quantization for speaker identification is investigated. This method differs from the known methods in that the number of centroids is not doubled but increases by 1 at every step. This enables us to obtain identification results at any number of centroids. This method is compared experimentally with the method (Lipeika and Lipeikienė, 1993a, 1993b), where feature vectors of investigative and comparative speakers are compared directly.</p></abstract><kwd-group><label>Keywords</label><kwd>speaker identification</kwd><kwd>likelihood ratio distance</kwd><kwd>vector quantization</kwd></kwd-group></article-meta></front></article>