Minimising Speaker Verification Utterance Length through Confidence Based Early Verification Decisions

  • Authors:

  • Robbie Vogt;Sridha Sridharan

  • Affiliations:

  • Speech and Audio Research Laboratory, Queensland University of Technology, Brisbane, Australia;Speech and Audio Research Laboratory, Queensland University of Technology, Brisbane, Australia

  • Venue:
  • ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
  • Year:
  • 2009

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Abstract

This paper presents a novel approach of estimating the confidence interval of speaker verification scores. This approach is utilised to minimise the utterance lengths required in order to produce a confident verification decision. The confidence estimation method is also extended to address both the problem of high correlation in consecutive frame scores, and robustness with very limited training samples. The proposed technique achieves a drastic reduction in the typical data requirements for producing confident decisions in an automatic speaker verification system. When evaluated on the NIST 2005 SRE, the early verification decision method demonstrates that an average of 5---10 seconds of speech is sufficient to produce verification rates approaching those achieved previously using an average in excess of 100 seconds of speech.