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
Origine | Fichiers produits par l'(les) auteur(s) |
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