Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. (arXiv:2210.03303v1 [cs.CL])

A significant number of studies apply acoustic and linguistic characteristics
of human speech as prominent markers of dementia and depression. However,
studies on discriminating depression from dementia are rare. Co-morbid
depression is frequent in dementia and these clinical conditions share many
overlapping symptoms, but the ability to distinguish between depression and
dementia is essential as depression is often curable. In this work, we
investigate the ability of clustering approaches in distinguishing between
depression and dementia from human speech. We introduce …

arxiv data data-driven language language data speech