Speech Recognition Method Based on Chaotic Neural Network

Speech recognition using neural networks was investigated.Especially,chaotic dynamics was introduced to neurons,and a multilayer chaotic neural network(CNN) architecture was built.A learning algorithm was also derived to train weights of the network.We apply the CNN to speech recognition and compare the performance of the network with those of recurrent neural network and time delay neural network. The experimental results show that the CNN method outperforms the other neural network methods with respect to average recognition rate.