Sixth European Conference on Speech Communication and Technology
This paper presents a hierarchical approach to the Large-Scale Speaker Recognition problem. In here the authors present a binary tree data-base approach for arranging the trained speaker models based on a distance measure designed for comparing two sets of distributions. The combination of this hierarchical structure and the distance measure  provide the means for conducting a large-scale verification task. In addition, two techniques are presented for creating a model of the complement-space to the cohort which is used for rejection purposes. Results are presented for the drastic improvements achieved mainly in reducing the false-acceptance of the speaker verification system without any significant false-rejection degradation.
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Bibliographic reference. Beigi, Homayoon S. M. / Maes, Stéphane H. / Chaudhari, Upendra V. / Sorensen, Jeffrey S. (1999): "A hierarchical approach to large-scale speaker recognition", In EUROSPEECH'99, 2203-2206.