Emotion Recognition of Speech Signals Based on the Immune Radial Basis Function Networks
Emotion Recognition of Speech Signals Based on the Immune Radial Basis Function Networks
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基于免疫径向基函数网络的语音信号情感识别
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Ye Ji
中科院分区：
文献类型：
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作者：
Ye Ji
针对反向传播神经网络（BPNN）正确识别率低、训练速度慢的缺点，提出了一种混合算法设计RBF网络，在提取语音信号特征的基础上，分别训练免疫径向基函数（IRBF）网络和BP网络，通过对RBF网络和BP网络的比较，验证了该算法的有效性。计算机仿真表明，用该方法设计的RBF网络具有较好的性能。
A hybrid algorithm to design the RBF network is proposed,so as to overcome the shortcomings that the back propagation neural networks(BPNN) have low rate of correct identification and the training process is slow.On the basis of the extraction of the speech signal features the immune radial basis function(IRBF) network and the network BP are trained.By comparing the RBF network with the BP network,the computer simulations demonstrate that the RBF network designed in this method has better performance.