Neural network based detection of voice disorders using energy spectrum and equal-loudness contours

Organized by Universiti Teknologi MARA (UiTM) Shah Alam, 7th - 9th March 2008 at Royale Bintang Hotel, Kuala Lumpur, Malaysia.

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Bibliographic Details
Main Authors:	Murugesa Pandian, Paulraj, Prof. Madya Dr., Sazali, Yaacob, Prof. Dr., Sivanandam, S. N., Muthusamy, Hariharan, Dr.
Other Authors:	paul@unimap.edu.my
Format:	Working Paper
Language:	English
Published:	Universiti Teknologi MARA (UiTM) 2011
Subjects:	Band energy spectrum Equal-loudness contours Elman recurrent network
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/15126
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-15126
record_format	dspace
spelling	my.unimap-151262013-11-20T03:28:32Z Neural network based detection of voice disorders using energy spectrum and equal-loudness contours Murugesa Pandian, Paulraj, Prof. Madya Dr. Sazali, Yaacob, Prof. Dr. Sivanandam, S. N. Muthusamy, Hariharan, Dr. paul@unimap.edu.my Band energy spectrum Equal-loudness contours Elman recurrent network Organized by Universiti Teknologi MARA (UiTM) Shah Alam, 7th - 9th March 2008 at Royale Bintang Hotel, Kuala Lumpur, Malaysia. Impairment of vocal function can have a major impact on the quality of life, severely limiting communication at work and affecting all social aspect of daily life. In the recent years, voice disease are increasing dramatically due to unhealthy social habits and voice abuse. Acoustic analysis is a non-invasive technique to detect and diagnose the voice disorders. In this paper, a simple feature extraction method based on band energy spectrum and weighing factor of its center frequency derived from Equal-loudness contours is proposed. A simple Elman recurrent network models is developed for testing the proposed features. The simulation results indicate that the proposed algorithm can be distinguish the voice as pathological or non-pathological voice and provides the mean classification accuracy of above 90%. The proposed method has been potential for diagnosing the voice disorders. 2011-10-28T08:01:56Z 2011-10-28T08:01:56Z 2008-03-07 Working Paper p. 105-109 978-983-42747-9-5 http://hdl.handle.net/123456789/15126 en Proceedings 4th International Colloquium in Signal Processing and its Application 2008 (CSPA 2008) Universiti Teknologi MARA (UiTM) Faculti of Electrical Engineering
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	Band energy spectrum Equal-loudness contours Elman recurrent network
spellingShingle	Band energy spectrum Equal-loudness contours Elman recurrent network Murugesa Pandian, Paulraj, Prof. Madya Dr. Sazali, Yaacob, Prof. Dr. Sivanandam, S. N. Muthusamy, Hariharan, Dr. Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
description	Organized by Universiti Teknologi MARA (UiTM) Shah Alam, 7th - 9th March 2008 at Royale Bintang Hotel, Kuala Lumpur, Malaysia.
author2	paul@unimap.edu.my
author_facet	paul@unimap.edu.my Murugesa Pandian, Paulraj, Prof. Madya Dr. Sazali, Yaacob, Prof. Dr. Sivanandam, S. N. Muthusamy, Hariharan, Dr.
format	Working Paper
author	Murugesa Pandian, Paulraj, Prof. Madya Dr. Sazali, Yaacob, Prof. Dr. Sivanandam, S. N. Muthusamy, Hariharan, Dr.
author_sort	Murugesa Pandian, Paulraj, Prof. Madya Dr.
title	Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
title_short	Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
title_full	Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
title_fullStr	Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
title_full_unstemmed	Neural network based detection of voice disorders using energy spectrum and equal-loudness contours
title_sort	neural network based detection of voice disorders using energy spectrum and equal-loudness contours
publisher	Universiti Teknologi MARA (UiTM)
publishDate	2011
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/15126
_version_	1643790616576917504

Neural network based detection of voice disorders using energy spectrum and equal-loudness contours

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