Evaluation of kernel methods for speaker verification and identification

Vincent Wan, Steve Renals

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationProceedings of the 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
Subtitle of host publicationICASSP 2002
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages669-672
ISBN (Print)0-7803-7402-9
DOIs
Publication statusPublished - May 2002
Event2002 IEEE International Conference on Acoustics, Speech, and Signal Processing - Orlando, FL, United States
Duration: 13 May 200217 May 2002

Conference

Conference2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
Country/TerritoryUnited States
CityOrlando, FL
Period13/05/0217/05/02

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