%0 Journal Article
%T Research of speech emotion recognition based on emotion features classification<br>基于情感特征分类的语音情感识别研究
%A ZHOU Xiao-feng
%A XIAO Nan-feng
%A WEN Han
%A <br>周晓凤
%A 肖南峰
%A 文　翰
%J 计算机应用研究
%D 2012
%I 
%X Because the speech signals were highly real-time uncertainty, this paper proposed evidences' trust entropy and dynamic prior weights to improve the basic probability function of traditional D-S theory. As the emotion recognition result was not the same by emotion features in different emotions, it presented a classification method of emotion features. In order to realize the fine-grain speech emotion recognition, it used the recognition data of different classification and the improved D-S theory to realize the emotion recognition based on multi-classification emotion features. The improved D-S theory is proved to be effective by simulation. And comparing simulation results show that the multi-classification emotion features are effective and stability.
%K speech emotion recognition
%K emotion features classification
%K improved D-S theory
%K evidences' trust entropy
%K dynamic prior weights
%K data fusion<br>语音情感识别
%K 情感特征分类
%K 改进D-S证据理论
%K 证据信任度信息熵
%K 动态先验权重
%K 数据融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=38AAB79AD8A56B53E753E2992A7A21C9&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=F3090AE9B60B7ED1&sid=446661183660B78D&eid=767E28EEBE2B00A0&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10