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

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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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/
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
id iium-38169
recordtype eprints
spelling iium-381692014-09-11T03:44:56Z http://irep.iium.edu.my/38169/ Speech emotion verification system (SEVS) based on MFCC for real time applications Kamaruddin, Norhaslinda Abdul Rahman, Abdul Wahab T Technology (General) 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 the frequency and time domain information for analysis. Since features extracted using the MFCC simulates the function of the human cochlea, neural network (NN) and fuzzy neural network algorithm namely; Multi Layer Perceptron (MLP), Adaptive Network-based Fuzzy Inference System (ANFIS) and Generic Selforganizing Fuzzy Neural Network (GenSoFNN) were used to verify the different emotions. Experimental results show potential of using these techniques to detect and distinguish three basic emotions from speech for real-time applications based on features extracted using MFCC. IET Digital Library 2008 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38169/1/Speech_Emotion_Verification_System_%28SEVS%29_based_on_MFCC_for_real_time_applications.pdf Kamaruddin, Norhaslinda and Abdul Rahman, Abdul Wahab (2008) Speech emotion verification system (SEVS) based on MFCC for real time applications. In: 4th International Conference on Intelligent Environments, IE 08, 21-22 July 2008, Seattle, WA. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4629747
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Kamaruddin, Norhaslinda
Abdul Rahman, Abdul Wahab
Speech emotion verification system (SEVS) based on MFCC for real time applications
description 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 the frequency and time domain information for analysis. Since features extracted using the MFCC simulates the function of the human cochlea, neural network (NN) and fuzzy neural network algorithm namely; Multi Layer Perceptron (MLP), Adaptive Network-based Fuzzy Inference System (ANFIS) and Generic Selforganizing Fuzzy Neural Network (GenSoFNN) were used to verify the different emotions. Experimental results show potential of using these techniques to detect and distinguish three basic emotions from speech for real-time applications based on features extracted using MFCC.
format Conference or Workshop Item
author Kamaruddin, Norhaslinda
Abdul Rahman, Abdul Wahab
author_facet Kamaruddin, Norhaslinda
Abdul Rahman, Abdul Wahab
author_sort Kamaruddin, Norhaslinda
title Speech emotion verification system (SEVS) based on MFCC for real time applications
title_short Speech emotion verification system (SEVS) based on MFCC for real time applications
title_full Speech emotion verification system (SEVS) based on MFCC for real time applications
title_fullStr Speech emotion verification system (SEVS) based on MFCC for real time applications
title_full_unstemmed Speech emotion verification system (SEVS) based on MFCC for real time applications
title_sort speech emotion verification system (sevs) based on mfcc for real time applications
publisher IET Digital Library
publishDate 2008
url http://irep.iium.edu.my/38169/
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
first_indexed 2023-09-18T20:54:48Z
last_indexed 2023-09-18T20:54:48Z
_version_ 1777410232218025984

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