Text-independent speaker recognition using neural network techniques

The domain of speaker recognition tasks extends from access control to office automation (such as labelling voice mail, or choosing the correct speaker dependent model for a speech recognition system) to forensics. Despite the range of potential applications for identifying or verifying speakers, there are relatively few current commercial systems because accurate speaker recognition in real world conditions remains a challenging problem. The paper considers the application of neural network techniques to the task of speaker identification. It concentrates on modular extensions to the well known multilayer perceptron (MLP) and radial basis function (RBF) architectures.