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Text-independent speaker identification based on explicit exploitation of stochastic characteristics of test utterance

dc.citation.epage1557en_US
dc.citation.issue25en_US
dc.citation.spage1556en_US
dc.citation.volume37en_US
dc.citation.woscount0
dc.contributor.authorTsai, WHen_US
dc.contributor.authorChang, WWen_US
dc.contributor.authorHuang, CSen_US
dc.contributor.department電信工程研究所zh_TW
dc.contributor.departmentInstitute of Communications Engineeringen_US
dc.date.accessioned2014-12-08T15:43:08Z
dc.date.available2014-12-08T15:43:08Z
dc.date.issued2001-12-06en_US
dc.description.abstractThe benefit of exploiting the stochastic characteristics of test utterance for speaker identification (speaker ID) via cross likelihood ratio and Bayesian information criterion is explored. Simulation results demonstrate the superiority of the proposed approaches over the conventional speaker ID based on maximum likelihood decision rule.en_US
dc.identifier.doi10.1049/el:20011044en_US
dc.identifier.issn0013-5194en_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.identifier.urihttp://dx.doi.org/10.1049/el:20011044en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/29193
dc.identifier.wosnumberWOS:000172854700043
dc.language.isoen_USen_US
dc.titleText-independent speaker identification based on explicit exploitation of stochastic characteristics of test utteranceen_US
dc.typeArticleen_US

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