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

Link to publisher's homepage at http://springerlink.com/

Saved in:

Bibliographic Details
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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-14048
record_format	dspace
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

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

Similar Items