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In this paper we present the results of speaker verification technology development for use over long distance telephone lines. We describe two large speech databases that were collected to support the development of new speaker verification algorithms. We discuss the results of discriminant analysis techniques which improve the discrimination between true speakers and impostors. We compare the performance of two speaker verification algorithms, one using template based Dynamic Time Warping (DTW) and the other, Hidden Markov Modeling (HMM).

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