Title :
Emotion Statuses Recognition of Speech Signal Using Transitive Closure
Author :
Yan, Tao Xiang ; Zeng, Xiu Hua ; Bi, Fu Kun
Author_Institution :
QuJing Normal Univ., Qujing, China
Abstract :
The paper introduced the way of transitive closure to dispose the speech emotion recognition. Transitive closure is a basic method of fuzzy clustering analysis, and the clustering of it grounds on the fuzzy equivalent matrix. The result is big affected by the threshold ¿, and in the paper we introduce the way of F-test to estimate the optimal threshold. According to the experiment result, we can come to the truth that the transitive closure is an effective way for the speech emotion recognition.
Keywords :
matrix algebra; pattern clustering; speech recognition; emotion statuses recognition; fuzzy clustering analysis; fuzzy equivalent matrix; speech emotion recognition; speech signal; transitive closure; Clustering methods; Decision making; Emotion recognition; Fuzzy logic; Fuzzy systems; Information science; Iterative methods; Speech analysis; Speech recognition; Standardization;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5364015
