Abstract
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.
Original language | English |
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Pages | 1023-1026 |
Number of pages | 4 |
Publication status | Published - Sept 1999 |
Event | 6th European Conference on Speech Communication and Technology, EUROSPEECH 1999 - Budapest, Hungary Duration: 5 Sept 1999 → 9 Sept 1999 |
Conference
Conference | 6th European Conference on Speech Communication and Technology, EUROSPEECH 1999 |
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Country/Territory | Hungary |
City | Budapest |
Period | 5/09/99 → 9/09/99 |
ASJC Scopus subject areas
- Computer Science Applications
- Software
- Linguistics and Language
- Communication