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This paper describes an investigation of the capability of a two-level adaptive linear threshold element (LTE) system to perform speaker discriminations. The study also includes an investigation of discriminating a speaker from an unknown population. The problem has been confined to the verification of an utterance as that of an expected informant. The environment of the experiments is discussed, and the experimental system is described. At the first level LTE, four different kinds of training have been developed for effective transformation and data reduction. At the second-level LTE, different training conditions and different decision processes are investigated and evaluated. Over 90% accuracy is obtained in separating a known speaker from impostors.
Li et al. (Tue,) studied this question.