Title :
Two-stage Classification of Emotional Speech
Author :
Xiao, Zhongzhe ; Dellandrea, Emmanuel ; Dou, Weibei ; Chen, Liming
Author_Institution :
Dept. of MI, Ecole Centrale de Lyon, Ecully
Abstract :
The purpose of this paper is to make an automatic classification of speech into seven emotional classes as anger, boredom, disgust, fear, gladness, neutral and sadness. A two-stage classification composed of several sub-classifiers is proposed. A feature set with 68 features has been computed over 286 speech samples from the Berlin database. The sequential forward selection method (SFS) has been used for each classifiers of the two stages in order to decide the feature subsets in each step. The result for the first stage as three-state classification is 87%, and the global result of the seven emotional classes is 78%, where the correct recognition rate of random classification by chance is about 15%
Keywords :
emotion recognition; feature extraction; speech recognition; automatic classification; emotional classes; emotional speech; feature set; random classification; sequential forward selection method; two-stage classification; Acoustic measurements; Electronic mail; Emotion recognition; Mel frequency cepstral coefficient; Motion pictures; Pediatrics; Spatial databases; Speech analysis; TV; Testing;
Conference_Titel :
Digital Telecommunications, , 2006. ICDT '06. International Conference on
Conference_Location :
Cote d´Azur
Print_ISBN :
0-7695-2650-0
DOI :
10.1109/ICDT.2006.76
