Identification of vocal and voice disorders
Organized by Universiti Malaysia Perlis (UniMAP), 25th - 26th October 2007 at Putra Brasmana Hotel, Kuala Perlis, Perlis, Malaysia.
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Universiti Malaysia Perlis (UniMAP)
2011
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/15128 |
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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 |
| score |
13.214268 |