J4 ›› 2008, Vol. 30 ›› Issue (4): 139-141.
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曹平 陈盼 章文彬 张潮
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摘要:
本文提出了一种基于脉冲神经网络SNN的语音识剐方法。该方法以H-H脉冲神经网络模型为基础,采用圆映射的脉冲编码理论将脉冲序列转化为符号序列;同时,以符号序列的距离函数作为语音识别的相似度函数,结合SNN计算能力和实时性强等优势,对语音识别问题进行了初步探讨和研究。实验结果表明,本文提出的特别的研究方法是可行的, 具有深入研究的价值。
关键词: 脉冲神经网络 语音识别 H&mdash, H方程 圆映射
Abstract:
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 s equence as the similarity function of speech recognition, consider the merits of SNN's strong computing capability and real-timeness, and perform an in nitial study of the speech recognition problem. The experiment shows that this method is feasible and deserves an in-depth research.
Key words: spiking neural networks, speech recognition, H-H equation, circle map
曹平 陈盼 章文彬 张潮. 基于脉冲神经网络的语音识别方法的初步探究[J]. J4, 2008, 30(4): 139-141.
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http://joces.nudt.edu.cn/CN/Y2008/V30/I4/139