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Domain Adaptation for Enhancing Speech-Based Depression Detection in Natural Environmental Conditions Using Dilated CNNs.

, , , , , and . INTERSPEECH, page 4561-4565. ISCA, (2020)

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Cognitive load classification using formant features., , , and . ISSPA, page 221-224. IEEE, (2010)Weighted pairwise Gaussian likelihood regression for depression score prediction., , , and . ICASSP, page 4779-4783. IEEE, (2015)A comparative study of different classifiers for detecting depression from spontaneous speech., , , , , , and . ICASSP, page 8022-8026. IEEE, (2013)Evaluation Measures for Depression Prediction and Affective Computing., , and . ICASSP, page 6610-6614. IEEE, (2019)Warped Magnitude and Phase-Based Features for Language Identification., , and . ICASSP (1), page 201-204. IEEE, (2006)Pupillary transient responses to within-task cognitive load variation., and . Comput. Methods Programs Biomed., (2016)Automatic Assessment of Depression from Speech and Behavioural Signals.. AVEC@MM, page 1. ACM, (2014)Beyond Subjective Self-Rating: EEG Signal Classification of Cognitive Workload., , and . IEEE Trans. Auton. Ment. Dev., 7 (4): 301-310 (2015)Spectral EEG featuresfor evaluating cognitive load., , and . EMBC, page 3841-3844. IEEE, (2011)Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals., , , and . ICONIP (2), volume 7664 of Lecture Notes in Computer Science, page 692-699. Springer, (2012)