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IAJIT
2010

Voice Disorders Identification Using Multilayer Neural Network

13 years 2 months ago
Voice Disorders Identification Using Multilayer Neural Network
: 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.
Lotfi Salhi, Talbi Mourad, Adnene Cherif
Added 25 Jan 2011
Updated 25 Jan 2011
Type Journal
Year 2010
Where IAJIT
Authors Lotfi Salhi, Talbi Mourad, Adnene Cherif
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