Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition
Jin Zhang, Guang Li, Walter J. Freeman · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
To model mammalian olfactory neural systems, a chaotic neural network entitled K-set has been constructed. This neural network with non-convergent "chaotic" dynamics simulates biological pattern recognition. This paper reports the characteristics of the KIII set and applies it to digital classification of the sounds of Mandarin spoken digits. Experimental results show that the KIII set performs digital speech recognition efficiently.