Priori threshold determination for phrase-prompted speaker verification

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

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

7 Citations (Scopus)


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 languageEnglish
Number of pages4
Publication statusPublished - Sept 1999
Event6th European Conference on Speech Communication and Technology, EUROSPEECH 1999 - Budapest, Hungary
Duration: 5 Sept 19999 Sept 1999


Conference6th European Conference on Speech Communication and Technology, EUROSPEECH 1999

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Linguistics and Language
  • Communication


Dive into the research topics of 'Priori threshold determination for phrase-prompted speaker verification'. Together they form a unique fingerprint.

Cite this