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Study on Adaptive Segmentation of Irregular Image Based on Improved PCNN

Dias Pereira, J. M. ; Deng-Chao, F. ; Zhao-Xuan, Y. ; Wang, Z.

Journal of Network and Computer Applications Vol. 28, Nº 3, pp. 650 - 652, March, 2008.

ISSN (print): 1095-8592
ISSN (online): 1084-8045

Journal Impact Factor: 2,229 (in 2014)

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Abstract
An innovative method for classifying emotional states of neutral or happy of Chinese phonetics by using Pulse Coupled Neural Network (PCNN) was proposed. The entropy series and neurons firing series of the image obtained by feeding the spectrogram into PCNN were used as the characteristics of emotion speech for emotion recognition. The experimental result show that this method can distinguish speaker's emotionsinormal & happyj in speech effectively. The application of PCNN in emotion recognition of speech expands the combination of two important parts of signal processing-speech and image processing and it is significant for theoretical research and application of PCNN.