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Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network

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

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Bibliographic Details
Main Authors: Hariharan, Muthusamy, Paulraj, Murugesa Pandiyan, Assoc. Prof., Sazali, Yaacob, Prof. Dr.
Other Authors: paul@unimap.edu.my
Format: Article
Language:English
Published: Inderscience Publisher 2011
Subjects:
Vocal fold pathology
Acoustic analysis
Time-domain energy features
Probabilistic Neural Network (PNN)
Probabilistic neural network
Vocal fold paralysis
Edema
Feature extraction
Speech signals
Voice
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/12181
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spelling my.unimap-121812011-06-09T04:44:14Z Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network Hariharan, Muthusamy Paulraj, Murugesa Pandiyan, Assoc. Prof. Sazali, Yaacob, Prof. Dr. paul@unimap.edu.my wavelet.hari@gmail.com s.yaacob@unimap.edu.my Vocal fold pathology Acoustic analysis Time-domain energy features Probabilistic Neural Network (PNN) Probabilistic neural network Vocal fold paralysis Edema Feature extraction Speech signals Voice Link to publisher's homepage at http://www.inderscience.com/ This paper proposes a feature extraction method based on time-domain energy variation for the detection of vocal fold pathology. In this work, two different vocal fold problems (vocal fold paralysis and edema) are taken for analysis and in either case, a two-class pattern recognition problem is investigated. The normal and pathological speech samples are used from Massachusetts Eye and Ear Infirmary database. Probabilistic Neural Network (PNN) is employed for the classification. The experimental results show that the proposed features give very promising classification accuracy of 90% and can be used to detect the vocal fold paralysis and edema clinically. 2011-06-09T04:44:14Z 2011-06-09T04:44:14Z 2011 Article International Journal of Biomedical Engineering and Technology, vol.6(1), 2011, pages 46-57 1752-6418 http://www.inderscience.com/search/index.php?action=record&rec_id=40452 http://hdl.handle.net/123456789/12181 en Inderscience Publisher
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 Vocal fold pathology
Acoustic analysis
Time-domain energy features
Probabilistic Neural Network (PNN)
Probabilistic neural network
Vocal fold paralysis
Edema
Feature extraction
Speech signals
Voice
spellingShingle Vocal fold pathology
Acoustic analysis
Time-domain energy features
Probabilistic Neural Network (PNN)
Probabilistic neural network
Vocal fold paralysis
Edema
Feature extraction
Speech signals
Voice
Hariharan, Muthusamy
Paulraj, Murugesa Pandiyan, Assoc. Prof.
Sazali, Yaacob, Prof. Dr.
Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
description Link to publisher's homepage at http://www.inderscience.com/
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Hariharan, Muthusamy
Paulraj, Murugesa Pandiyan, Assoc. Prof.
Sazali, Yaacob, Prof. Dr.
format Article
author Hariharan, Muthusamy
Paulraj, Murugesa Pandiyan, Assoc. Prof.
Sazali, Yaacob, Prof. Dr.
author_sort Hariharan, Muthusamy
title Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
title_short Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
title_full Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
title_fullStr Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
title_full_unstemmed Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
title_sort detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
publisher Inderscience Publisher
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/12181
_version_ 1643790554443546624
score 13.222552

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