Automatic speech analysis for early Alzheimer's disease diagnosis - Archive ouverte HAL
Communication Dans Un Congrès Année : 2017

Automatic speech analysis for early Alzheimer's disease diagnosis

Résumé

We extract voice features from read speech of patients diagnosed as having Alzheimer's disease and mild cognitive impairment versus healthy control group at the AP-HP Broca Hospital. Two classification methods are used to evaluate the efficiency of these features. Finally, a wrapper feature selection method as exploits both methods is also evaluated
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Dates et versions

hal-01618834 , version 1 (15-11-2017)

Identifiants

  • HAL Id : hal-01618834 , version 1

Citer

Saeideh Mirzaei, Mounim El Yacoubi, Sonia Garcia-Salicetti, Jérôme Boudy, Christian Kahindo Senge Muvingi, et al.. Automatic speech analysis for early Alzheimer's disease diagnosis. JETSAN 2017 : 6e Journées d'Etudes sur la Télésanté, May 2017, Bourges, France. pp.114 - 116. ⟨hal-01618834⟩
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