Speaker identification using elliptical based neural networks

An elliptical basis function (EBF) network is proposed in this study for the speaker identification. Though similar in structure, the EBF network differs from the well-known radial basis function (RBF) network by incorporating full covariance matrices and uses the expectation-maximization (EM) algorithm to estimate the basis functions. Experimental evaluations based on 100 speakers show that smaller size EBF networks with basis function parameters determined by the EM algorithm outperform the large RBF networks trained by the conventional approach