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}.


Year:
2002
Publisher:
IDIAP
Keywords:
Note:
published in The Advent of Biometrics on the Internet (COST 275), Rome 2002
Laboratories:




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

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