MLP语音信号非线性预测器

被引:1
作者
周志杰
机构
[1] 解放军理工大学通信工程学院江苏南京
关键词
语音处理; 语音分析; 神经网络; 多层感知器(MLP); 快速算法;
D O I
暂无
中图分类号
TN912.34 [语音识别与设备];
学科分类号
0711 ;
摘要
讨论了 MLP(Multi- Layer Perceptron)语音信号非线性预测器的实现。为了使 MLP能够适用于语音信号预测 ,对 MLP的误差准则进行了修正以减轻神经网络模型与语音模型之间的过匹配。为了提高MLP的训练速度 ,提出了一种线性化逐层优化 (LOLL) MLP训练算法。实验结果显示该非线性预测器的预测信噪比约比线性预测器提高 2 d B,而且它还可以同时完成长时预测器的功能 ;误差准则修正使非线性预测器的预测信噪比提高了 0 .3 5 d B
引用
收藏
页码:1 / 4
页数:4
相关论文
共 6 条
[1]  
Fully vector quantized neural network-based codeexcited nonlinear predictive speech coding. WU L,NIRANJN M,FALLSIDE F. IEEE Transactions on Speech and Audio Processing . 1994
[2]  
Some observations on oral air flow vocalization. TEAGER H M. IEEE Transactions on Applied Superconductivity . 1980
[3]  
Adaptive speech processing with DCT and neural net vector quantization. VELEVA L,KUNCHEV R. Electronics Letters . 1993
[4]  
Progress in supervised neural networks. DON H R,BILL H G. IEEE Signal Processing Magazine . 1996
[5]  
An accelerated learning algorithm for multilayer perceptrons:optimization layer by layer. ERGEINGER S,THOMSEN E. IEEE Transactions on Neural Networks . 1995
[6]  
An alternative adaptive sequential regression algorithm and its application to the recognition of cerebral palsy speech. Deller J R,Dong Bayer. IEEE Transactions on Circuits and Systems . 1987