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Diagnosis of voice disorders using band energy spectrum in wavelet domain

Organized by Universiti Malaysia Perlis (UniMAP), 8th - 10th March 2008 at Putra Brasmana, Perlis, Malaysia.

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Bibliographic Details
Main Authors: Murugesa Pandiyan, Paulraj, Prof. Madya Dr,, Sazali, Yaacob, Prof. Dr., Muthusamy, Hariharan, Dr.
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2011
Subjects:
Acoustic analysis
Band energy spectrum
Wavelet transform
Neural network
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/15123
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spelling my.unimap-151232011-10-28T07:31:37Z Diagnosis of voice disorders using band energy spectrum in wavelet domain Murugesa Pandiyan, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr. Muthusamy, Hariharan, Dr. paul@unimap.edu.my sazali@gmail.com wavelet.hari@gmail.com Acoustic analysis Band energy spectrum Wavelet transform Neural network Organized by Universiti Malaysia Perlis (UniMAP), 8th - 10th March 2008 at Putra Brasmana, Perlis, Malaysia. In the evolution of quality of speech, acoustic analyses of normal and pathological voices have become increasingly interesting to researchers in laryngology and speech pathologies. Vocal signal information plays an important role to understand the process of vocal fold pathology formation. Noninvasive acoustical analysis of vocal signal helps to perform accurate diagnoses of voice disorders. This paper presents a feature extraction method using band energy spectrum and wavelet analysis for the diagnosis of vocal pathology. Two simple neural network models are developed for testing the feature extraction procedure and for the classification of pathological voices. The simulation results indicate that the proposed algorithms distinguish the voice as pathological or a non-pathological voice accurately and the proposed method can be used as diagnosis tool for the detection of voice disorders. 2011-10-28T07:31:37Z 2011-10-28T07:31:37Z 2008-03-08 Working Paper p. 1-4 http://hdl.handle.net/123456789/15123 en Proceedings of the Malaysian Universities Conference on Engineering and Technology (MUCET2008) Universiti Malaysia Perlis (UniMAP)
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 analysis
Band energy spectrum
Wavelet transform
Neural network
spellingShingle Acoustic analysis
Band energy spectrum
Wavelet transform
Neural network
Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
Diagnosis of voice disorders using band energy spectrum in wavelet domain
description Organized by Universiti Malaysia Perlis (UniMAP), 8th - 10th March 2008 at Putra Brasmana, Perlis, Malaysia.
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
format Working Paper
author Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
Sazali, Yaacob, Prof. Dr.
Muthusamy, Hariharan, Dr.
author_sort Murugesa Pandiyan, Paulraj, Prof. Madya Dr,
title Diagnosis of voice disorders using band energy spectrum in wavelet domain
title_short Diagnosis of voice disorders using band energy spectrum in wavelet domain
title_full Diagnosis of voice disorders using band energy spectrum in wavelet domain
title_fullStr Diagnosis of voice disorders using band energy spectrum in wavelet domain
title_full_unstemmed Diagnosis of voice disorders using band energy spectrum in wavelet domain
title_sort diagnosis of voice disorders using band energy spectrum in wavelet domain
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/15123
_version_ 1643790616275976192
score 13.222552

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