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Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm

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Main Authors: Farah Nazlia, Che Kassim, Vikneswaran, Vijean, Hariharan, Muthusamy, Rokiah, Abdullah, Zulkapli, Abdullah
Other Authors: nazlia@unimap.edu.my
Format: Article
Language:English
Published: IOP Publishing 2020
Subjects:
Voice pathology
Pathological voice
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69026
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id my.unimap-69026
record_format dspace
spelling my.unimap-690262020-12-16T08:27:59Z Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm Farah Nazlia, Che Kassim Vikneswaran, Vijean Hariharan, Muthusamy Rokiah, Abdullah Zulkapli, Abdullah nazlia@unimap.edu.my Voice pathology Pathological voice Link to publisher's homepage at https://iopscience.iop.org/ Voice pathology analysis has been one of the useful tools in the diagnosis of the pathological voice. This method is non-invasive, inexpensive and reduces time required for analysis. This paper investigates the feature extraction based on the DualTree Complex Wavelet Packet Transform (DT-CWPT) with entropies and energy measures tested with two classifiers, k-Nearest Neighbors (k-NN) and Support Vector Machine (SVM). Feature selection using ReliefF algorithm is applied to reduce redundancy features set and obtain the optimum features for classification. Massachusetts Eye and Ear Infirmary (MEEI) voice disorders database and Saarbruecken Voice Database (SVD) are used. This research was done on multiclass and by specific pathology. The experimental results automates the process of voice analysis hence produce promising results of the presence of diseases in vocal folds. 2020-12-16T08:27:59Z 2020-12-16T08:27:59Z 2019 Article Journal of Physics: Conference Series, vol.1372, 2019, 6 pages 1742-6588 (print) 1742-6596 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69026 https://iopscience.iop.org/article/10.1088/1742-6596/1372/1/012029/pdf en International Conference on Biomedical Engineering (ICoBE); IOP Publishing
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 Voice pathology
Pathological voice
spellingShingle Voice pathology
Pathological voice
Farah Nazlia, Che Kassim
Vikneswaran, Vijean
Hariharan, Muthusamy
Rokiah, Abdullah
Zulkapli, Abdullah
Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
description Link to publisher's homepage at https://iopscience.iop.org/
author2 nazlia@unimap.edu.my
author_facet nazlia@unimap.edu.my
Farah Nazlia, Che Kassim
Vikneswaran, Vijean
Hariharan, Muthusamy
Rokiah, Abdullah
Zulkapli, Abdullah
format Article
author Farah Nazlia, Che Kassim
Vikneswaran, Vijean
Hariharan, Muthusamy
Rokiah, Abdullah
Zulkapli, Abdullah
author_sort Farah Nazlia, Che Kassim
title Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
title_short Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
title_full Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
title_fullStr Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
title_full_unstemmed Voice Pathology Analysis using DT-CWPT and ReliefF Algorithm
title_sort voice pathology analysis using dt-cwpt and relieff algorithm
publisher IOP Publishing
publishDate 2020
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69026
_version_ 1698698545526210560
score 13.222552

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