A Study on Emotional Feature Analysis and Recognition in Speech Signal

被引：7
|
作者：
Cheng, Xin Min [1 ]
Cheng, Pei Ying [1 ]
Zhao, Li [2 ]
机构：
[1] Huzhou Teachers Coll, Sch Informat Engn, Huzhou, Zhejiang, Peoples R China
[2] Southeast Univ, Dept Radio Engn, Nanjing, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, VOL I | 2009年
关键词：
speech signal; smotional feature; emotional recognition;
D O I：
10.1109/ICMTMA.2009.89
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper analysis the feather of the time, amplitude, pitch and formant construction involved such four emotions as happiness, anger, surprise and sorrow. Through comparison with non-emotional quiet speech signal, we sum up the distribution law of emotional feather including different emotional speech. Nine emotional features were extracted form emotional speech for recognizing emotion. We introduce two emotional recognition methods based on principal component analysis and the results show that these method can provide an effective solution to emotional recognition.
引用
收藏
页码：418 / 420
页数：3
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