Score fusion methods for text-independent speaker verification applications

Incorporation of Speech Duration Information in Score Fusion of Speaker Recognition Systems

“…In [9], Rastoceanu and Lazar make a comparison of different features and methods for score fusion for an independent speaker verification application. In this paper, scores obtained with several types of features were fused with combination methods such as mean, max, min, weighted sum, and classification methods such as: support vector machines (SVM), linear discriminant analysis (LDA).…”