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The domain of speaker recognition tasks extends from access control to office automation to forensics. Despite the range of potential applications for identifying or verifying speakers, there are relatively few commercial systems because accurate speaker recognition in real world conditions remain a challenging problem. The application of neural network techniques to speaker identification is discussed, with emphasis on modular extensions to the well known multilayer perceptron (MLP) and radial basis function (RBF) architectures.

Original publication




Conference paper

Publication Date



13 - 18