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Previous studies of an automated detection of Major Depression in adolescents based on acoustic speech analysis identified the glottal and the Teager Energy features as the strongest correlates of depression. This study investigates the effectiveness of these features in an early prediction of Major Depression in adolescents using a fully automated speech analysis and classification system. The prediction...
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