Efficient two-stage speaker identification based on universal background models

Conventional speaker identification systems are already field-proven with respect to recognition accuracy. Since any biometric identification requires exhaustive 1 : N comparisons for identifying a biometric probe, comparison time frequently dominates the overall computational workload, preventing t...

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Published in2014 International Conference of the Biometrics Special Interest Group (BIOSIG) pp. 1 - 6
Main Authors Billeb, Stefan, Rathgeb, Christian, Buschbeck, Michael, Reininger, Herbert, Kasper, Klaus
Format Conference Proceeding
LanguageEnglish
Published Gesellschaft für Informatik e.V. - GI 01.09.2014
Subjects
Biological system modeling
Biometrics (access control)
Computational efficiency
Feature extraction
Probes
Vectors
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Summary:Conventional speaker identification systems are already field-proven with respect to recognition accuracy. Since any biometric identification requires exhaustive 1 : N comparisons for identifying a biometric probe, comparison time frequently dominates the overall computational workload, preventing the system from being executed in real-time. In this paper we propose a computational efficient two-stage speaker identification system based on Gaussian Mixture Model and Universal Background Model. Binarized voice biometric templates are utilized to pre-screen a large database and thereby reduce the required amount of full comparisons to a fraction of the total. Experimental evaluations demonstrate that the proposed system is capable of significantly accelerating the response-time of the system and, at the same time, identification performance is maintained, confirming the soundness of the scheme.
ISBN:9783885796244
3885796244