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基于RBF神经网络的语音情感识别
引用本文:张海燕,唐建芳.基于RBF神经网络的语音情感识别[J].四川理工学院学报(自然科学版),2011,24(5):552-555.
作者姓名:张海燕  唐建芳
作者单位:四川理工学院理学院,四川自贡,643000
摘    要:介绍了径向基函数神经网络的原理、训练算法,并建立了RBF神经网络的语音情感识别的模型。在实验中比较了BP神经网络与RBF神经网络分别用于语音情感识别识别率,RBF神经网络的平均识别率高于BP神经网络3%。结果表明,基于RBF神经网络的语音情感识别方法的有效性。

关 键 词:径向基函数  RBF神经网络  语音情感识别

Speech Emotion Recognition Based on RBF Neural Network
ZHANG Hai-yan,TANG Jian-fang.Speech Emotion Recognition Based on RBF Neural Network[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2011,24(5):552-555.
Authors:ZHANG Hai-yan  TANG Jian-fang
Institution:(School of Science,Sichuan University of Science & Engineering,Zigong 643000,China)
Abstract:The principle of radial base function neural network and its train algorithm are introduced in this paper.Meanwhile,the model of speech emotion recognition based on RBF neural network is established.In the recognition experiments,BP neural network and RBF neural network are compared in the same testing environment.The recognition rate of RBF neural network is 3% more than BP neural network.The results show that the method based on RBF neural network speech emotion recognition is effective.
Keywords:radial basis function  RBF neural network  speech emotion recognition
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