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From joyous to clinically depressed: Mood detection using spontaneous speech

Alghowinem, Sharifa; Goecke, Roland; Wagner, Michael; Epps, Julian; Breakspear, Michael; Parker, Gordon


Depression and other mood disorders are common and disabling disorders. We present work towards an objective diagnostic aid supporting clinicians using affective sensing technology with a focus on acoustic and statistical features from spontaneous speech. This work investigates differences in expressing positive and negative emotions in depressed and healthy control subjects as well as whether initial gender classification increases the recognition rate. To this end, spontaneous speech from...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
Source: Proceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25


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