Title :
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
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;
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
DOI :
10.1109/WCSE.2009.237