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《Computer Engineering & Science》 2008-04
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Exploration of Speech Recognition Based on Spiking Neural Networks

CAO Ping,CHEN Pan,ZHANG Wen-bin,ZHANG Chao(School of Information,Zhijiang College,Zhejiang University of Technology,Hangzhou 310023,China)  
In this paper,a method of speech recognition based on Spiking Neural Networks(SNNs) is presented.Based on the H-H spiking neural model,this method can transform a sequence of spikes to a symbolic sequence with the circle map spiking coding.Meanwhile we use the distance function of the symbolic sequence as the similarity function of speech recognition,consider the merits of SNN's strong computing capability and real-timeness,and perform an initial study of the speech recognition problem.The experiment shows that this method is feasible and deserves an in-depth research.
【CateGory Index】: TN912.34;TP183
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