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Discrimination of pathological voices using systole activated neural network

Proceedings of the Regional Conference on Engineering Mathematics, Mechanics, Manufacturing & Architecture (EM3 ARC) 2007 was jointly organized by Universiti Kebangsaan Malaysia (UKM), 27th - 28th November 2007 at Kuala Lumpur, Malaysia.

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Bibliographic Details
Main Authors: Murugesa Pandiyan, Paulraj, Prof. Madya Dr,, Sazali, Yaacob, Prof. Dr., Hariharan, Muthusamy, Dr.
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: Noise, Vibration and Comfort Research Group 2012
Subjects:
Acoustic features
Neural network
Back propagation algorithm
Systole activation function
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/18754
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spelling my.unimap-187542012-04-10T12:53:55Z Discrimination of pathological voices using systole activated neural network Murugesa Pandiyan, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. paul@unimap.edu.my Acoustic features Neural network Back propagation algorithm Systole activation function Proceedings of the Regional Conference on Engineering Mathematics, Mechanics, Manufacturing & Architecture (EM3 ARC) 2007 was jointly organized by Universiti Kebangsaan Malaysia (UKM), 27th - 28th November 2007 at Kuala Lumpur, Malaysia. The discrimination of normal and pathological voices using noninvasive acoustical analysis features helps speech specialits to perform accurate diagnoses of vocal and voices disease. Acoustic analysis is a non-invasive technique based on digital processing of the speech, acoustic analyses of normal and pathological voices have become increasingly interesting to researchers in ENT and speech pathologies. This paper presents discrimination of pathological voices using Artificial Neural Network for the accurate diagnosis of vocal and voices disease. A Neural network is trained using Back propagation algorithm with bipolar activation function and systole activation function. The neural network trained by using back propagation algorithm with systole activation function provides very promising classification accuracy of 99% to discriminate the voices as pathological or a non-pathological or a non-pathological voice accurately. 2012-04-10T12:53:55Z 2012-04-10T12:53:55Z 2007-11-27 Working Paper p. 160-165 http://hdl.handle.net/123456789/18754 en Proceedings of the Regional Conference on Engineering Mathematics, Mechanics, Manufacturing & Architecture (EM3 ARC) 2007 Noise, Vibration and Comfort Research Group
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 features
Neural network
Back propagation algorithm
Systole activation function
spellingShingle Acoustic features
Neural network
Back propagation algorithm
Systole activation function
Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
Discrimination of pathological voices using systole activated neural network
description Proceedings of the Regional Conference on Engineering Mathematics, Mechanics, Manufacturing & Architecture (EM3 ARC) 2007 was jointly organized by Universiti Kebangsaan Malaysia (UKM), 27th - 28th November 2007 at Kuala Lumpur, Malaysia.
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
format Working Paper
author Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
author_sort Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
title Discrimination of pathological voices using systole activated neural network
title_short Discrimination of pathological voices using systole activated neural network
title_full Discrimination of pathological voices using systole activated neural network
title_fullStr Discrimination of pathological voices using systole activated neural network
title_full_unstemmed Discrimination of pathological voices using systole activated neural network
title_sort discrimination of pathological voices using systole activated neural network
publisher Noise, Vibration and Comfort Research Group
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/18754
_version_ 1643790616876810240
score 13.214268

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