基于RBF神经网络的语音情感识别OA
Speech Emotion Recognition Based on RBF Neural Network
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。
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 e…查看全部>>
张海燕;唐建芳
四川理工学院理学院,四川自贡643000四川理工学院理学院,四川自贡643000
计算机与自动化
径向基函数RBF神经网络语音情感识别
radial basis functionRBF neural networkspeech emotion recognition
《四川理工学院学报：自然科学版》 2011 (5)
552-555,4
四川理工学院科研项目（2009XJKYL005）
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