Publikation

Automatic Detection of Apathy using Acoustic Markers extracted from Free Emotional Speech

Nicklas Linz, Xenia Klinge, Johannes Tröger, Alexandra König, Philippe Robert, Jan Alexandersson

In: Proceedings of the 2nd Workshop on Data Mining for Ageing, Rehabilitation and Independent Assisted Living. Workshop on Data Mining for Ageing, Rehabilitation and Independent Assisted Living (ARIAL-18) July 13-15 Stockholm Sweden 2018.

Abstrakt

Apathy is a frequent neuropsychiatric syndrome in people with dementia. It leads to diminished motivation for physical, cognitive and emotional activity. Apathy is highly underdiagnosed since its criteria have been only recently established and rely heavily on the subjective evaluation of human observers. In this paper we analyse speech samples from demented people with and without apathy. Speech was provoked by asking patients two emotional questions. Acoustic features were extracted and used in a classification task. The resulting models show performances of AUC = 0.71 and AUC = 0.63. This is a decent first step into the direction of automatic detection of apathy from speech. Usefulness of stimuli to elicit free speech is found to depend on patients gender.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence