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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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-18754
record_format	dspace
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

Discrimination of pathological voices using systole activated neural network

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