Emotion Statuses Recognition of Speech Signal Using Intuitionistic Fuzzy Set

Author

Yang, Taoxiang ; Yang, Jian ; Bi, FuKun

Author_Institution

Dept. of Phys., QuJing Normal Univ., Qujing, China

Volume

1

fYear

2009

fDate

19-21 May 2009

Firstpage

204

Lastpage

207

Abstract

In this paper, a novel speech emotion recognition scheme bases on intuitionistic fuzzy set (IFS) and discrimination information measures is proposed. Intuitionistic fuzzy set (IFS) is a new way of knowledge representation. In which, two character functions, the degree of membership (belongingness) and the degree of non-membership (non-belongingness), are adopted to describe the relation between the features and the patterns. The discrimination information is used to estimate the distance between the intuitionistic fuzzy sets in the paper. Finally, the experiment indicates that the method mentioned in this paper has a satisfying performance on the recognition of speech emotion.

Keywords

emotion recognition; fuzzy set theory; knowledge representation; speech recognition; character functions; degree of membership; degree of nonmembership; discrimination information measurement; intuitionistic fuzzy set; knowledge representation; speech emotion recognition scheme; Emotion recognition; Fuzzy sets; Software engineering; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, 2009. WCSE '09. WRI World Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3570-8

Type

conf

DOI

10.1109/WCSE.2009.237

Filename

5319087