Sixth European Conference on Speech Communication and Technology

Budapest, Hungary
September 5-9, 1999

A Priori Threshold Determination for Phrase-Prompted Speaker Verification

W. D. Zhang, K. K. Yiu, M. W. Mak, C. K. Li, M. X. He (1)

Dept. of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong
(1) Ocean Remote Sensing Institute, Ocean University of Qingdao, China

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.

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Bibliographic reference.  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", In EUROSPEECH'99, 1023-1026.