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Multistyle classification of speech under stress using wavelet packet energy and entropy features

Proceedings of The Conference on Sustainable Utilization Development in Engineering and Technology (STUDENT 2011) at Semenyih, Malaysia on 20 October 2011 through 21 October 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=6089328&tag=...

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Main Authors: Nurul Aida Amira, Johari, Hariharan, Muthusamy, Dr., Saidatul, A., Sazali, Yaacob, Prof. Dr.
Other Authors: cintan.jerit@gmail.com
Format: Working Paper
Language:English
Published: IEEE Conference Publications 2014
Subjects:
Emotional/stressed states
Linear discriminant analysis
Speech signal
Stress classification
Wavelet packet transform
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34381
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spelling my.unimap-343812014-05-09T07:31:27Z Multistyle classification of speech under stress using wavelet packet energy and entropy features Nurul Aida Amira, Johari Hariharan, Muthusamy, Dr. Saidatul, A. Sazali, Yaacob, Prof. Dr. cintan.jerit@gmail.com hari@unimap.edu.my s.yaacob@unimap.edu.my Emotional/stressed states Linear discriminant analysis Speech signal Stress classification Wavelet packet transform Proceedings of The Conference on Sustainable Utilization Development in Engineering and Technology (STUDENT 2011) at Semenyih, Malaysia on 20 October 2011 through 21 October 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=6089328&tag=1 Physco-physiological conditions like stress and emotional state may affect human's speech production. Different techniques have been proposed such as facial expressions, speech production variation, and physiological signals to detect the emotional/stressed states of a person. For past 2 decades, the determination of an emotional/stressed state through speech has been undergone substantial research and development. Various techniques are used in the literature to classify emotional/stressed states on the basis of speech. In this paper, a feature extraction method using two different wavelet packet filterbank structures which are based on barkscale and equivalent rectangular bandwidth (ERB) scale for identifying the emotional/stressed states of a person. In this study speech samples are taken from Speech Under Simulated and Actual Stress (SUSAS) database. Linear Discriminant analysis (LDA) based classifier is used to test usefulness of suggested features. Experimental result shows that the suggested methods can be used to identify the emotional/stressed states of a person. 2014-05-09T07:31:27Z 2014-05-09T07:31:27Z 2011-10 Working Paper p. 74-78 978-1-4577-0443-7 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6089328&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6089328 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34381 http://dx.doi.org/10.1109/STUDENT.2011.6089328 en Proceeding of The Conference on Sustainable Utilization Development in Engineering and Technology (STUDENT 2011); IEEE Conference Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Emotional/stressed states
Linear discriminant analysis
Speech signal
Stress classification
Wavelet packet transform
spellingShingle Emotional/stressed states
Linear discriminant analysis
Speech signal
Stress classification
Wavelet packet transform
Nurul Aida Amira, Johari
Hariharan, Muthusamy, Dr.
Saidatul, A.
Sazali, Yaacob, Prof. Dr.
Multistyle classification of speech under stress using wavelet packet energy and entropy features
description Proceedings of The Conference on Sustainable Utilization Development in Engineering and Technology (STUDENT 2011) at Semenyih, Malaysia on 20 October 2011 through 21 October 2011. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/stamp/stamp.jsp?tp=&arnumber=6089328&tag=1
author2 cintan.jerit@gmail.com
author_facet cintan.jerit@gmail.com
Nurul Aida Amira, Johari
Hariharan, Muthusamy, Dr.
Saidatul, A.
Sazali, Yaacob, Prof. Dr.
format Working Paper
author Nurul Aida Amira, Johari
Hariharan, Muthusamy, Dr.
Saidatul, A.
Sazali, Yaacob, Prof. Dr.
author_sort Nurul Aida Amira, Johari
title Multistyle classification of speech under stress using wavelet packet energy and entropy features
title_short Multistyle classification of speech under stress using wavelet packet energy and entropy features
title_full Multistyle classification of speech under stress using wavelet packet energy and entropy features
title_fullStr Multistyle classification of speech under stress using wavelet packet energy and entropy features
title_full_unstemmed Multistyle classification of speech under stress using wavelet packet energy and entropy features
title_sort multistyle classification of speech under stress using wavelet packet energy and entropy features
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34381
_version_ 1643797463518150656
score 13.211869

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