%0 Journal Article
%T Speech Recognition Based on Dynamic and Static Feature Parameter Integration<br>基于动静态组合特征参数的语音识别
%A WANG Xu
%A HAN Zhi-yan
%A WANG Jian
%A XUE Li-fang
%A <br>王旭
%A 韩志艳
%A 王健
%A 薛丽芳
%J 计算机科学
%D 2008
%I 
%X In this paper,we propose a new speech recognition method of dynamic and static feature integration.Wavelet packet transformation method is introduced to feature parameters in virtue of MFCC(Mel-Frequency Cepstrum Coefficient),then combined difference feature formed dynamic and static feature parameter integration.The simulation results indicate that the new feature parameter is better than MFCC,that is a very nice speech feature parameter.At the same time,chaotic dynamics is introduced to neurons,and a chao...
%K Speech recognition
%K Feature parameter
%K Wavelet packet transformation
%K Chaotic neural network<br>语音识别
%K 特征参数
%K 小波包变换
%K 混沌神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=C0946DD02283989E684E2DE06C4141B8&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=DF92D298D3FF1E6E&sid=28F8B56DB6BEE30E&eid=7C72DBC13F2D71EC&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=10