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Diagnosis of voices disorders using MEL scaled WPT and functional link neural network

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Main Authors: Paulraj, Muregesa Pandiyan, Prof. Madya Dr., Sazali, Yaacob, Prof. Dr., Hariharan, Muthusamy
Other Authors: paul@unimap.edu.my
Format: Article
Language:English
Published: Biomedical Fuzzy Systems Association (BMFSA) 2011
Subjects:
Acoustic analysis
Voices disorders
Mel scaled wavelet packet transform (MEL scaled WPT)
Functional link neural (FLNN)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13370
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spelling my.unimap-133702011-08-02T04:58:31Z Diagnosis of voices disorders using MEL scaled WPT and functional link neural network Paulraj, Muregesa Pandiyan, Prof. Madya Dr. Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy paul@unimap.edu.my Acoustic analysis Voices disorders Mel scaled wavelet packet transform (MEL scaled WPT) Functional link neural (FLNN) Link to publisher's homepage at http://www.f.waseda.jp/ Nowadays voice disorders are increasing dramatically due to the modern way of life. Most of the voice disorders cause changes in the voice signal. Acoustic analysis on the speech signal could be a useful tool for diagnosing voice disorders. This paper applies Mel-scaled wavelet packet transform (Mel-scaled WPT) based features to perform accurate diagnosis of voice disorders. A Functional Link Neural Network (FLNN) is developed to test the usefulness of the suggested features. Two simple modifications are newly proposed in the FLNN architecture to improve the classification accuracy. In the first architecture, a hidden layer is newly introduced in a FLNN and trained by Back Propagation (BP) procedure. In the second architecture, the Integral and Derivative controller concepts are introduced to the neurons in the hidden layer and the network is trained by BP procedure. The performance is compared with conventional neural network model. The results prove that the proposed FLNN gives very promising classification accuracy and suggested features can be employed clinically to diagnose the voice disorders. 2011-08-02T04:58:30Z 2011-08-02T04:58:30Z 2008-03-31 Article Biomedical Soft Computing and Human Sciences, vol. 14(2), 2009, pages 55-60 1345-1537 http://www.f.waseda.jp/watada/BMFSA/journal-IJ/ijtemp/IJV14N02source/BSCHS_V14N2body/BSCHV14N02_ALL.pdf#page=63 http://hdl.handle.net/123456789/13370 en Biomedical Fuzzy Systems Association (BMFSA)
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 Acoustic analysis
Voices disorders
Mel scaled wavelet packet transform (MEL scaled WPT)
Functional link neural (FLNN)
spellingShingle Acoustic analysis
Voices disorders
Mel scaled wavelet packet transform (MEL scaled WPT)
Functional link neural (FLNN)
Paulraj, Muregesa Pandiyan, Prof. Madya Dr.
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy
Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
description Link to publisher's homepage at http://www.f.waseda.jp/
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Paulraj, Muregesa Pandiyan, Prof. Madya Dr.
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy
format Article
author Paulraj, Muregesa Pandiyan, Prof. Madya Dr.
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy
author_sort Paulraj, Muregesa Pandiyan, Prof. Madya Dr.
title Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
title_short Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
title_full Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
title_fullStr Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
title_full_unstemmed Diagnosis of voices disorders using MEL scaled WPT and functional link neural network
title_sort diagnosis of voices disorders using mel scaled wpt and functional link neural network
publisher Biomedical Fuzzy Systems Association (BMFSA)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13370
_version_ 1643790584557600768
score 13.222552

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