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dc.contributor.authorWan, Vincent
dc.contributor.authorRenals, Steve
dc.coverage.spatial4en
dc.date.accessioned2006-05-10T17:18:27Z
dc.date.available2006-05-10T17:18:27Z
dc.date.issued2002-05
dc.identifier.citationProc. IEEE ICASSP2002, pp. 669-672en
dc.identifier.urihttp://hdl.handle.net/1842/953
dc.description.abstractSupport vector machines are evaluated on speaker verification and speaker identification tasks. We compare the polynomial kernel, the Fisher kernel, a likelihood ratio kernel and the pair hidden Markov model kernel with baseline systems based on a discriminative polynomial classifier and generative Gaussian mixture model classifiers. Simulations were carried out on the YOHO database and some promising results were obtained.en
dc.format.extent361919 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEEen
dc.titleEvaluation of Kernal Methods for Speaker Verification and Identificationen
dc.typeConference Paperen


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