摘要
本文建立了一种基于RBF神经网络的声纹识别系统。提取了Mel频率倒谱系数及其一阶差分参数,利用时间规整网络对所得参数进行了有效的简化,运用RBF神经网络对声纹特征参数进行了训练和识别。Matlab的实验结果表明,RBF神经网络在声纹识别中具有良好的发展前景。
A voiceprint recognition system based on the radial basis function neural network is established.Mel-frequency cepstrum coefficients and the differential of the first order are extracted,the time warping network is used to reduce voiceprint coefficients,and the radial basis function neural network is used to train and test voiceprint coefficients.The results of Matlab experiments show that the radial basis function neural network has great prospects in the voiceprint recognition.
出处
《网络安全技术与应用》
2010年第12期28-30,共3页
Network Security Technology & Application
关键词
径向基函数神经网络
声纹识别
时间规整
radial basis function neural network
voiceprint recognition
time warping
