Speech emotion verification system (SEVS) based on MFCC for real time applications

• Main Authors: Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab
• Format: Conference or Workshop Item
• Language: English
• Published: IET Digital Library 2008
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/38169/1/Speech_Emotion_Verification_System_%28SEVS%29_based_on_MFCC_for_real_time_applications.pdf; http://irep.iium.edu.my/38169/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4629747

Human recognizes speech emotions by extracting features from the speech signals received through the cochlea and later passed the information for processing. In this paper we propose the use of Mel-Frequency Cepstral Coefficient (MFCC) to extract the speech emotion information to provide both th...