%0 Journal Article
%T Speech Emotional Recognition Using Global and Time Sequence Structure Feature<br>全局和时序结构特征并用的语音信号情感特征识别方法
%A ZHAO Li
%A WANG Zhi-Ping
%A LU Wei
%A ZOU Cai-Rong
%A WU Zhen-Yang
%A <br>赵力
%A 王治平
%A 卢韦
%A 邹采荣
%A 吴镇扬
%J 自动化学报
%D 2004
%I 
%X While the former method for emotional feature analysis in speech signal utili-zes global features, a novel method that is based on time sequence feature is proposed in this paper. For different number of vowels, three programming methods are proposed to normalize the length of the speech signal. Experiments are conducted on a task of 10 speakers, 1000 sentences including happy, anger, surprise and sorrowful emotions to demonstrate the effectiveness of the new method. The average recognition rate is as high as 94%.
%K Speech signal
%K emotional feature analysis
%K modified quadratic discriminant function
%K emotion recognition<br>语音信号
%K 情感特征分析
%K 修正二次判别函数
%K 情感识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=D9A06A9A156E688D&yid=D0E58B75BFD8E51C&vid=340AC2BF8E7AB4FD&iid=38B194292C032A66&sid=F27A401E323B6FAD&eid=9BA67A0B76A3DBA8&journal_id=0254-4156&journal_name=自动化学报&referenced_num=6&reference_num=10