Fuzzy Cluster Analysis and its Evaluation Method(<Special Issue>BIOMETRICS AND ITS APPLICATIONS)

概要

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Recently, Distributed Speech Recognition (DSR) systems are widely deployed in Japanese cellular telephone networks. In these systems, personal authentication with voice is strongly desired. In this paper, we present several speaker recognition techniques developed in the University of Tokushima for Distributed Speaker Identification/Verification (DSI/DSV) systems. Especially, we present recent progress on a non-parametric speaker recognition system that is robust to quantization in the distributed systems comparing with conventional speaker recognition systems based on Gaussian Mixture Model (GMM). Evaluation results using the Japanese de facto standard speaker recognition corpus and CCC Speaker Recognition Evaluation 2006 data developed by the Chinese Corpus Consortium (CCC) show higher performance of the proposed method than GMM and VQ-distortion in the European Telecommunications Standards Institute (ETSI) DSR standard environment.