Automatic Detection of Apathy using Acoustic Markers extracted from Free Emotional Speech
| العنوان: | Automatic Detection of Apathy using Acoustic Markers extracted from Free Emotional Speech |
|---|---|
| المؤلفون: | Nicklas Linz, Xenia Klinge, Johannes Tröger, Jan Alexandersson, Radia, Robert Philippe, Alexandra König |
| المساهمون: | Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Cognition Behaviour Technology (CobTek), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Côte d'Azur (UCA), Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Nice Sophia Antipolis (1965 - 2019) (UNS) |
| المصدر: | 2ND WORKSHOP ON AI FOR AGING, REHABILITATION AND INDEPENDENT ASSISTED LIVING (ARIAL) @IJCAI'18 2ND WORKSHOP ON AI FOR AGING, REHABILITATION AND INDEPENDENT ASSISTED LIVING (ARIAL) @IJCAI'18, Jul 2018, Stockholm Sweden HAL |
| بيانات النشر: | HAL CCSD, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | [SCCO]Cognitive science, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.PSYC]Cognitive science/Psychology, otorhinolaryngologic diseases, [SCCO.LING]Cognitive science/Linguistics |
| الوصف: | International audience; 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. |
| اللغة: | English |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::367b2531be9b743ab3de3d1620ca0936Test https://hal.inria.fr/hal-01850436/documentTest |
| رقم الانضمام: | edsair.dedup.wf.001..367b2531be9b743ab3de3d1620ca0936 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |