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Speech Features for Depression Detection., and . INTERSPEECH, page 1928-1932. ISCA, (2016)Modeling Feature Representations for Affective Speech using Generative Adversarial Networks., , and . CoRR, (2019)Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition., , , and . ICASSP, page 4934-4938. IEEE, (2018)Semi-Supervised and Transfer Learning Approaches for Low Resource Sentiment Classification., , , and . ICASSP, page 5109-5113. IEEE, (2018)Adversarial Auto-encoders for Speech Based Emotion Recognition., , , , and . CoRR, (2018)On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks., , and . INTERSPEECH, page 3693-3697. ISCA, (2018)Adversarial Auto-Encoders for Speech Based Emotion Recognition., , , , and . INTERSPEECH, page 1243-1247. ISCA, (2017)An Affect Prediction Approach Through Depression Severity Parameter Incorporation in Neural Networks., , , and . INTERSPEECH, page 3122-3126. ISCA, (2017)Towards Building generalizable speech Emotion Recognition Models.. University of Maryland, College Park, MD, USA, (2019)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/21956).SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images., , , and . MediaEval, volume 1984 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)