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A comparative study of different classifiers for detecting depression from spontaneous speech

Alghowinem, Sharifa; Goecke, Roland; Wagner, Michael; Epps, Julian; Gedeon, Tamas (Tom); Breakspear, Michael; Parker, Gordon


Accurate detection of depression from spontaneous speech could lead to an objective diagnostic aid to assist clinicians to better diagnose depression. Little thought has been given so far to which classifier performs best for this task. In this study, usi

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
DOI: 10.1109/ICASSP.2013.6639227


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