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Investigating the Effect of Audio Duration on Dementia Detection Using Acoustic Features
2018
Interspeech 2018
This paper presents recent progress toward our goal to enable area-wide pre-screening methods for the early detection of dementia based on automatically processing conversational speech of a representative group of more than 200 subjects. We focus on conversational speech since it is the natural form of communication that can be recorded unobtrusively, without adding stress to subjects, and without the need of controlled clinical settings. We describe our unsupervised process chain consisting
doi:10.21437/interspeech.2018-57
dblp:conf/interspeech/WeinerAUS18
fatcat:zctxilg2xjbs3o5pntslesf7em