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

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

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...

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Bibliographic Details
Main Authors:	Kamaruddin, Norhaslinda, Abdul Rahman, Abdul Wahab
Format:	Proceeding Paper
Language:	English
Published:	IET Digital Library 2008
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38169/ http://irep.iium.edu.my/38169/1/Speech_Emotion_Verification_System_%28SEVS%29_based_on_MFCC_for_real_time_applications.pdf

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