期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：9
出版社：S.S. Mishra
摘要：In human machine interaction automatic speech emotion recognition is so far challenging but important task which paid close attention in current research area. As the role of speech is an increase in human computer interface. Speech is attractive and effective medium due to its several features expressing attitude and emotions trough speech is possible. In this paper we have analysed emotion recognition performance on eight different speakers. IITKGP-SEHSC emotional speech corpora used for emotions recognition. The emotions used in this study are anger, fear, happy, neutral, sarcastic, and surprise. The classifications were carried out using Gaussian Mixture Model (GMM). Mel Frequency Cepstral Coefficients (MFCCs) features are used for identifying the emotions. It can be observed that, when we increase the number of centres then recognition performance increases
关键词：Emotion Recognition; Gaussian Mixture Model (GMM); Male-scale Frequency Cepstral Coefficient ;(MFCC); IITKGP-SEHSC (Indian Institute of Technology Kharagpur Simulated Hindi Emotional Speech Corpus).
