User-Customized Password HMM Based Speaker Verification

is presented. The system has no {\it a priori} knowledge of passwords. A hybrid HMM/ANN system is used to infer the phonetic transcription of the password. The emission probabilities are then modeled by a multi-Gaussians HMM model. Evaluation experiments, conducted on PolyVar database, showed results comparable with a system where the correct phonetic transcription of the password is known {\it a priori}.


Published in:
Proceedings of the COST275 Workshop on the Advent of Biometrics on the Internet, 103-106
Presented at:
Proceedings of the COST275 Workshop on the Advent of Biometrics on the Internet
Year:
2002
Publisher:
Rome, Italy
Keywords:
Note:
IDIAP-RR 02-35
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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