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dc.contributor.advisorMonique Fargue
dc.contributor.advisorHippenstiel, Ralph
dc.contributor.authorLelakis, Ioannis
dc.dateMarch 1995
dc.date.accessioned2013-04-29T22:51:41Z
dc.date.available2013-04-29T22:51:41Z
dc.date.issued1995-03
dc.identifier.urihttp://hdl.handle.net/10945/31584
dc.description.abstractThis thesis investigates the application of the two-dimensional cepstrum transform to a speaker identification System. Two distance measures are implemented for identification decision; the Euclidean distance and a weighted two-dimensional cepstral distance. The study considers three words to be tested under several noise levels. The effect of speaking rate during recordings is examined and is shown to be critical. Results show identification rates in the range of 95% to 98.5% for 50 dB signal to noise ratio and 57.65% to 80.7% for 0 dB signal to noise ratio.en_US
dc.description.urihttp://archive.org/details/speakeridentific1094531584
dc.format.extent83 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleSpeaker identification using the two-dimensional cepstrum transformen_US
dc.typeThesisen_US
dc.contributor.departmentElectrical Engineering
dc.description.funderNAen_US
dc.description.recognitionNAen_US
dc.description.serviceHellenic Navy author.en_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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