This paper presents a novel method to determine the decision thresholds of speaker verification systems using enrollment data only. In the method, a speaker model is trained to differentiate the voice of the corresponding speaker and that of a general population. This is accomplished by using the speaker's utterances and those of some other speakers (denoted as anti-speakers) as the training set. Then, an operation environment is simulated by presenting the utterances of some pseudo-impostors (none of them is an anti-speaker) to the speaker model. The threshold is adjusted until the chance of falsely accepting a pseudo-impostor falls below an application dependent level. Experimental evaluations based on 138 speakers of the YOHO corpus suggest that with a simulated operation environment, it is able to determine the best compromise between false acceptance and false rejection.
Cite as: Zhang, W.D., Yiu, K.K., Mak, M.W., Li, C.K., He, M.X. (1999) A priori threshold determination for phrase-prompted speaker verification. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 1023-1026, doi: 10.21437/Eurospeech.1999-250
@inproceedings{zhang99b_eurospeech,
author={W. D. Zhang and K. K. Yiu and M. W. Mak and C. K. Li and M. X. He},
title={{A priori threshold determination for phrase-prompted speaker verification}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={1023--1026},
doi={10.21437/Eurospeech.1999-250}
}