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...
| Main Authors: | , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
IET Digital Library
2008
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38169/1/Speech_Emotion_Verification_System_%28SEVS%29_based_on_MFCC_for_real_time_applications.pdf |