Identification of vocal and voice disorders

Organized by Universiti Malaysia Perlis (UniMAP), 25th - 26th October 2007 at Putra Brasmana Hotel, Kuala Perlis, Perlis, Malaysia.

Saved in:
Bibliographic Details
Main Authors: Murugesa Pandiyan, Paulraj, Prof. Madya Dr., Sazali, Yaacob, Prof. Dr., Mohd Rizon, Mohammed Juhari, Prof. Dr., Sivanandam, S. N., Muthusamy, Hariharan, Dr.
Other Authors: paul@unimap.edu.my
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2011
Subjects:
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/15128
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Malaysia Perlis
Language: English
id my.unimap-15128
record_format dspace
spelling my.unimap-151282011-10-28T08:18:52Z Identification of vocal and voice disorders Murugesa Pandiyan, Paulraj, Prof. Madya Dr. Sazali, Yaacob, Prof. Dr. Mohd Rizon, Mohammed Juhari, Prof. Dr. Sivanandam, S. N. Muthusamy, Hariharan, Dr. paul@unimap.edu.my Acoustic analysis Acoustic features Neural network Slope parameter Gaussian activation function Organized by Universiti Malaysia Perlis (UniMAP), 25th - 26th October 2007 at Putra Brasmana Hotel, Kuala Perlis, Perlis, Malaysia. The discrimination of normal and pathological voices using noninvasive acoustic analysis helps to perform accurate identification of voice disorders and diagnoses of vocal and voice disease. Acoustic analysis is a non- invasive technique based on digital processing of the speech signal. In the recent years, acoustic analysis of normal and pathological voices have become increasingly interesting to researchers in laryngology and speech pathologies. This paper presents classification of pathological voices using neural network trained by Back propagation algorithm with slope parameter and BP with binary sigmoidal and Gaussian activation function. Simulation results indicate that the proposed algorithm provide better classification rate than conventional back propagation algorithm. 2011-10-28T08:18:52Z 2011-10-28T08:18:52Z 2007-10-25 Working Paper p. 779-784 http://hdl.handle.net/123456789/15128 en Proceedings of the Conference on Applications and Design in Mechanical Engineering (CADME07) 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
Acoustic features
Neural network
Slope parameter
Gaussian activation function
spellingShingle Acoustic analysis
Acoustic features
Neural network
Slope parameter
Gaussian activation function
Murugesa Pandiyan, Paulraj, Prof. Madya Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Rizon, Mohammed Juhari, Prof. Dr.
Sivanandam, S. N.
Muthusamy, Hariharan, Dr.
Identification of vocal and voice disorders
description Organized by Universiti Malaysia Perlis (UniMAP), 25th - 26th October 2007 at Putra Brasmana Hotel, Kuala Perlis, Perlis, Malaysia.
author2 paul@unimap.edu.my
author_facet paul@unimap.edu.my
Murugesa Pandiyan, Paulraj, Prof. Madya Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Rizon, Mohammed Juhari, Prof. Dr.
Sivanandam, S. N.
Muthusamy, Hariharan, Dr.
format Working Paper
author Murugesa Pandiyan, Paulraj, Prof. Madya Dr.
Sazali, Yaacob, Prof. Dr.
Mohd Rizon, Mohammed Juhari, Prof. Dr.
Sivanandam, S. N.
Muthusamy, Hariharan, Dr.
author_sort Murugesa Pandiyan, Paulraj, Prof. Madya Dr.
title Identification of vocal and voice disorders
title_short Identification of vocal and voice disorders
title_full Identification of vocal and voice disorders
title_fullStr Identification of vocal and voice disorders
title_full_unstemmed Identification of vocal and voice disorders
title_sort identification of vocal and voice disorders
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/15128
_version_ 1643790648392810496