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Evaluation of Kernal Methods for Speaker Verification and Identification

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Wan ICASSP.pdf (353.4Kb)
Date
05/2002
Author
Wan, Vincent
Renals, Steve
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Abstract
Support 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.
URI
http://hdl.handle.net/1842/953
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