Text-Independent Speaker Verification: The WCL-1 System
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A text-independent Probabilistic Neural Network (PNN)-based speaker verification system, referred to as WCL-1, is presented. A modular structure, with a distinct PNN for each enrolled speaker, is employed. A gender-dependent universal background model is created to represent the world of possible impostor speakers. Beside portrayal of the WCL-1 system, a compre-hensive description of the results obtained in the one-speaker detection task, during the 2002 NIST Speaker Recognition Evaluation is presented.
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