Speaker Recognition Research Based On Array Neural Network

Speaker recognition is a biometrics that the identifier of a person can be recognized via his voice. It is applied to man-machine interface, ensure public security, military affairs, judicature, and so on. Speech signals pre-procession, point detection, feature extraction were discussed. Speaker recognition system based on array neural network was set up. And then, the model of wavelet neural network was presented. The speaker recognition system using wavelet neural network as the classifier is constructed in this paper. The experiment results show that the proposed methods have faster training speed and higher recognition rate than the system based on BP neural network. Array neuron network have increased training and recognition speed, simplified complex classify system. The system based on wavelet neural network is useful and effective in speaker recognition.