Abstract
How to extract more identity-related information from speech signal is a crucial problem in the research of speaker authentication. In this paper, we present a novel framework for combining Speaker Verification (SV) System with Verbal Information Verification (VIV) System by proposing the nonstandard-SVM method. The scheme of nonstandard-SVMs makes it possible to adjust the tradeoff between False Acceptance Error and False Rejection Error without the loss of the good generalization performance of traditional SVMs. Further more, experiments show that the proposed method improves the authentication performance relatively 80%, 60% and 50% compared with SV, VIV and the conventional combination system respectively.