Application of Novel Chaotic Neural Networks to Mandarin Digital Speech Recognition

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.