关键词: 语音情感, 智能模型, 神经网络, 主成分分析

Abstract: To improve the problem of the low recognition accuracy caused by the defect of the traditional speech emotion recognition model, this algorithm of process neural networks is introduced to the speech emotion recognition. This paper extracts the speech emotion features of fundamental frequency, amplitude, sound characteristic, and uses the method of  wavelet analysis to reduce noise, the Principal Component Analysis（PCA） to reduce the redundancy, and carries on the experiment of classification and recognition of the four speech emotions of anger, happiness, sadness and surprise. The result proves that the method of process neural network has better recognition effect on the four speech emotions compared with the traditional recognition model.

Key words: speech emotion, intelligent model, neural network, Principal Component Analysis（PCA）