P230 - BIOSIG 2014 - Proceedings of the 13th International Conference of the Biometrics Special Interest Group

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Efficient two-stage speaker identification based on universal background models
(BIOSIG 2014, 2014) Billeb, Stefan; Rathgeb, Christian; Buschbeck, Michael; Reininger, Herbert; Kasper, Klaus
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.