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 language | English |
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Title of host publication | Proceedings of the 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing |
Subtitle of host publication | ICASSP 2002 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 669-672 |
ISBN (Print) | 0-7803-7402-9 |
DOIs | |
Publication status | Published - May 2002 |
Event | 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing - Orlando, FL, United States Duration: 13 May 2002 → 17 May 2002 |
Conference
Conference | 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing |
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Country/Territory | United States |
City | Orlando, FL |
Period | 13/05/02 → 17/05/02 |