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Voice disorders identification using multilayer neural network
Joint Authors
Salhi, Lotfi
Mourad, Talbi
Sharif, Adnan
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 2 (30 Apr. 2010), pp.177-185, 9 p.
Publisher
Publication Date
2010-04-30
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper we present a new method for voice disorders classification based on multilayer neural network.
The processing algorithm is based on a hybrid technique which uses the wavelets energy coefficients as input of the multilayer neural network.
The training step uses a speech database of several pathological and normal voices collected from the national hospital “Rabta-Tunis” and was conducted in a supervised mode for discrimination of normal and pathology voices and in a second step classification between neural and vocal pathologies (Parkinson, Alzheimer, laryngeal, dyslexia…).
Several simulation results will be presented in function of the disease and will be compared with the clinical diagnosis in order to have an objective evaluation of the developed tool.
American Psychological Association (APA)
Salhi, Lotfi& Mourad, Talbi& Sharif, Adnan. 2010. Voice disorders identification using multilayer neural network. The International Arab Journal of Information Technology،Vol. 7, no. 2, pp.177-185.
https://search.emarefa.net/detail/BIM-58500
Modern Language Association (MLA)
Salhi, Lotfi…[et al.]. Voice disorders identification using multilayer neural network. The International Arab Journal of Information Technology Vol. 7, no. 2 (Apr. 2010), pp.177-185.
https://search.emarefa.net/detail/BIM-58500
American Medical Association (AMA)
Salhi, Lotfi& Mourad, Talbi& Sharif, Adnan. Voice disorders identification using multilayer neural network. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 2, pp.177-185.
https://search.emarefa.net/detail/BIM-58500
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical referenses : p. 184-185
Record ID
BIM-58500