A new procedure for classifying speakers in speaker verification systems
Johan W. Koolwaaij, Lou Boves · 1997
In this paper we propose a new measure to classify speakers with respect to their behaviour in speaker recognition systems. Taking the proposal made by EAGLES as a point of departure we show that it fails to yield results that are consistent between closely related speaker recognition methods and between different amounts of speech available for the recognition task. We show that measures based on a straightforward confusion matrices, that take only the 1-best classification into account, cannot result in consistent classifications. As an alternative we propose a measure based on n-best scores in a speaker identification paradigm, and show that it yields more consistent performance. 1. CONTEXT In Speaker Verification (SV) research it has been customary to base comparisons and evaluations on Equal Error Rates (EER) [2]. Recently, Receiver Operator Curves (ROC) seem to gain popularity, as a richer representation of performance results. However, ROC representations are still based on re...