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Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders

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Main Authors: Murugesa Pandian, Paulraj, Prof. Madya Dr,, Sazali, Yaacob, Prof. Dr., Muthusamy, Hariharan, Dr.
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: SpringerLink 2011
Subjects:
Feature extraction
Acoustic analysis
Melscaled wavelet packet transform
Neural network
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14048
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spelling my.unimap-140482011-10-07T06:12:41Z Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders Murugesa Pandian, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr. Muthusamy, Hariharan, Dr. paul@unimap.edu.my Feature extraction Acoustic analysis Melscaled wavelet packet transform Neural network Link to publisher's homepage at http://springerlink.com/ Feature extraction from the vocal signal plays very important role in the area of automatic detection of voice disorders. Many feature extraction algorithms have been developed in the last three decades based on acoustic analysis of speech signals. To provide a robust representation of speech signal in an automatic voice disorder diagnosis system, a Melscaled wavelet packet transform has been suggested. A simple neural network model is designed to test the efficacy of Melscaled wavelet packet transform based features. Experimental results show that the features derived by using Melscaled wavelet packet transform provides comparable results. The proposed features can be used as an additional acoustic indicator for the evaluation of voice disorders. 2011-10-07T06:12:41Z 2011-10-07T06:12:41Z 2008-06-25 Working Paper IFMBE Proceedings, vol. 21(1), 2008, pages 790-793 978-354069138-9 1680-0737 http://www.springerlink.com/content/j57572n370x4x802/fulltext.pdf http://hdl.handle.net/123456789/14048 en Proceedings of the 4th Kuala Lumpur International Conference on Biomedical Engineering 2008 SpringerLink
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 Feature extraction
Acoustic analysis
Melscaled wavelet packet transform
Neural network
spellingShingle Feature extraction
Acoustic analysis
Melscaled wavelet packet transform
Neural network
Murugesa Pandian, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
description Link to publisher's homepage at http://springerlink.com/
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Murugesa Pandian, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
format Working Paper
author Murugesa Pandian, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
author_sort Murugesa Pandian, Paulraj, Prof. Madya Dr,
title Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
title_short Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
title_full Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
title_fullStr Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
title_full_unstemmed Feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
title_sort feature extraction based on mel-scaled wavelet packet transform for the diagnosis of voice disorders
publisher SpringerLink
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14048
_version_ 1643790934144450560
score 13.214268

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