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Multichannel Weighted Speech Classification System for Prediction of Major Depression in Adolescents.

, , and . IEEE Trans. Biomed. Engineering, 60 (2): 497-506 (2013)

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Recognition of stress in speech using wavelet analysis and Teager energy operator., , , and . INTERSPEECH, page 605-608. ISCA, (2008)Multichannel Weighted Speech Classification System for Prediction of Major Depression in Adolescents., , and . IEEE Trans. Biomed. Engineering, 60 (2): 497-506 (2013)Statistical differences in speech acoustics of major depressed and non-depressed adolescents., , and . ICSPCS, page 1-7. IEEE, (2015)Cortico-amygdalar maturational coupling is associated with depressive symptom trajectories during adolescence., , , , , and . NeuroImage, (2017)Development of subcortical volumes across adolescence in males and females: A multisample study of longitudinal changes., , , , , , , , , and 2 other author(s). NeuroImage, (2018)Prefrontal Structural Correlates of Cognitive Control during Adolescent Development: A 4-Year Longitudinal Study., , , , , and . J. Cognitive Neuroscience, 26 (5): 1118-1130 (2014)Study of empirical mode decomposition and spectral analysis for stress and emotion classification in natural speech., , , and . Biomed. Signal Proc. and Control, 6 (2): 139-146 (2011)Interaction between hypothalamic-pituitary-adrenal axis genetic variation and maternal behavior in the prediction of amygdala connectivity in children., , , , , , , , and . NeuroImage, (2019)Influence of acoustic low-level descriptors in the detection of clinical depression in adolescents., , , , and . ICASSP, page 5154-5157. IEEE, (2010)Content based clinical depression detection in adolescents., , , , and . EUSIPCO, page 2362-2366. IEEE, (2009)