Abstract

This article presents an application of fuzzy nonlinear classifier based on fuzzy If-Then rules to speaker verification and identification. Comparison of achieved recognition accuracy with popular modeling techniques in speaker recognition like Gaussian mixture models and vector quantization is made. All research is based on Polish speech corpus ROBOT, which is designed for testing speech algorithms. Verification results are discussed.

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