hanningwindow 由于噪声的广泛存在，当实际应用环境与形成系统参数的训练环境严重失配时，系

hanningwindow

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Category : AI-NN-PR
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Update : 2011-04-28
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由于噪声的广泛存在，当实际应用环境与形成系统参数的训练环境严重失配时，系统参数性能会大幅下降甚至无法工作。同样的语音特征条件下，传统的模型方法识别性能遇到了重大挫折，而人的听觉系统却有良好的噪声适应能力。

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基于概率神经网络的数字语音识别matlab程序\newpnn\mfcc.m
基于概率神经网络的数字语音识别matlab程序\newpnn\vad.m
基于概率神经网络的数字语音识别matlab程序\newpnn\MELBANKM.M
基于概率神经网络的数字语音识别matlab程序\newpnn\ENFRAME.M
基于概率神经网络的数字语音识别matlab程序\newpnn\testpnn.m
基于概率神经网络的数字语音识别matlab程序\newpnn\testpnn.asv
基于概率神经网络的数字语音识别matlab程序\newpnn\demopnn1.m
基于概率神经网络的数字语音识别matlab程序\newpnn\新建 文本文档.txt
基于概率神经网络的数字语音识别matlab程序\newpnn
基于概率神经网络的数字语音识别matlab程序

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