Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech

Introduction: Research related to the automatic detection of Alzheimer's disease (AD) is important, given the high prevalence of AD and the high cost of traditional diagnostic methods. Since AD significantly affects the content and acoustics of spontaneous speech, natural language processing, a...

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Detalles Bibliográficos
Autores principales: Balagopalan, Aparna, Eyre, Benjamin, Robin, Jessica, Rudzicz, Frank, Novikova, Jekaterina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110916/
https://www.ncbi.nlm.nih.gov/pubmed/33986655
http://dx.doi.org/10.3389/fnagi.2021.635945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8110916/
https://www.ncbi.nlm.nih.gov/pubmed/33986655
http://dx.doi.org/10.3389/fnagi.2021.635945

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