Two-Stage Feature Selection of Voice Parameters for Early Alzheimer's Disease Prediction
Authors:
- S. MirzaeiSMS. Mirzaei
- M. El YacoubiM. El Yacoubi
- S. Garcia-SalicettiSGS. Garcia-Salicetti
- J. BoudyJBJ. Boudy
- C. KahindoC. Kahindo
- V. Cristancho-LacroixV. Cristancho-Lacroix
- H. KerhervéHKH. Kerhervé
- A.-S. RigaudARA.-S. Rigaud
Abstract
No abstract availableKeywords
Funding Information
- Fondation MAIF
- Fondation MAIF
This publication has 13 references indexed in Scilit:
- Linguistic Features Identify Alzheimer’s Disease in Narrative SpeechJournal of Alzheimer’s Disease, 2015
- Automatic speech analysis for the assessment of patients with predementia and Alzheimer's diseaseAlzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 2015
- Connected speech as a marker of disease progression in autopsy-proven Alzheimer’s diseaseBrain, 2013
- On Automatic Diagnosis of Alzheimer’s Disease Based on Spontaneous Speech Analysis and Emotional TemperatureCognitive Computation, 2013
- Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's DiseaseIEEE Transactions on Biomedical Engineering, 2012
- Temporal parameters of spontaneous speech in Alzheimer's diseaseInternational Journal of Speech-Language Pathology, 2009
- THE DECLINE OF WORKING MEMORY IN ALZHEIMER'S DISEASEBrain, 1991
- Spontaneous speech in senile dementia and aphasia: Implications for a neurolinguistic model of language productionCognition, 1987
- Harmonics-to-Noise Ratio and Psychophysical Measurement of the Degree of HoarsenessJournal of Speech, Language, and Hearing Research, 1984
- “Mini-mental state”Journal of Psychiatric Research, 1975