Investigation of biases in acoustic embeddings for the detection of Alzheimer’s disease

Type: Project

Status: finished

Supervisors: Paula Andrea Pérez-Toro, M. Sc., Elmar Nöth, Andreas Maier

Alzheimer’s disease is one of the most common neurodegenerative disorders that greatly impact individual and societal levels. These patients not only suffer from dementia but also from depression which can lead to more decline in cognitive abilities. However, both AD and depression have some common symptoms that make the detection of depression in Alzheimer’s extremely challenging. But several studies have used subsets of the DementiaBank database and employed different audio embeddings to detect depressive AD patients. Nevertheless, such embeddings can be biased for non-clinical factors.