Speech analysis and depression

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Dec 2016Publisher:IEEEJournal:2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

Authors: Tan Tze Ern Shannon; Dai Jingwen Annie; See Swee Lan;

doi: 10.1109/apsipa.2016.7820752

Speech analysis and depression

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Abstract

In this paper, the correlation between the speech features of the vowel /a/ and depression severity was investigated, so as to derive a depression severity meter mobile application that can accurately detect depression quantitatively. Results showed a correlation between depression severity and speech features, and an application prototype was created and tested to assess for predictive accuracy of BDI score.

Related Organizations

Institute for Infocomm Research
Singapore
Agency for Science, Technology and Research
Singapore

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