Detection of vocal fold paralysis and edema using time-domain features and probabilistic neural network
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2011
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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 |
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Universiti Malaysia Perlis |
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| 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 |