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Voice Disorders Identification Using Multilayer Neural Network (2008)
| Citations: | 3 - 0 self |
BibTeX
@MISC{Salhi08voicedisorders,
author = {Lotfi Salhi and Talbi Mourad and Adnene Cherif},
title = {Voice Disorders Identification Using Multilayer Neural Network},
year = {2008}
}
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Abstract
Abstract: 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.
Keyphrases
multilayer neural network second step classification developed tool training step new method supervised mode speech database hybrid technique objective evaluation processing algorithm voice disorder normal voice national hospital rabta tunis wavelet energy coefficient several simulation result vocal pathology pathology voice clinical diagnosis
