Text-independent speaker identification using neural array networks

A neural array networks for speaker identification is proposed in this paper.It is able to convert the complex problem of N-catalog classification into a set of simple problem of 2-catalog classification.The architecture and searching algorithm of the neural array networks are described.The speaker identification with RBF (radial basis function) array networks is discussed emphatically.Experiments showed that this method can identify speakers well.The speaker identification correctness reaches to 98% for 20 speakers when trained with 5 second speech utterances and tested with 2 second speech utterances.