Research on Isolated Word Speech Recognition Based on Biomimetic Pattern Recognition

In this paper, the theories of biomimetic pattern recognition and high-dimension space covering are applied into the isolated word speech recognition. And, based on Hopfield network and RBF network, a new type of neural network model is constructed to realize the coverage of different types of samples which form different geometrical shapes in high-dimension space. Therefore, the purpose of classification will be well achieved by adopting the above model. Finally, the simulated experiments denote the proposed method is effective.