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Automatically augmenting an emotion dataset improves classification using audio., , and . CoRR, (2018)Reusing Neural Speech Representations for Auditory Emotion Recognition., , , and . CoRR, (2018)What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective., , , , , , , , and . CoRR, (2019)Discourse-Wizard: Discovering Deep Discourse Structure in your Conversation with RNNs., , , and . CoRR, (2018)KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos., , , and . CoRR, (2019)How do we approach intrinsic motivation computationally.. Front. Neurorobot., (2008)On the Robustness of Speech Emotion Recognition for Human-Robot Interaction with Deep Neural Networks., , , , and . IROS, page 854-860. IEEE, (2018)Robot Docking Based on Omnidirectional Vision and Reinforcement Learning., , and . SGAI Conf., page 23-36. Springer, (2005)Real-World Reinforcement Learning for Autonomous Humanoid Robot Charging in a Home Environment., , and . TAROS, volume 6856 of Lecture Notes in Computer Science, page 231-240. Springer, (2011)Automatically augmenting an emotion dataset improves classification using audio., , and . EACL (2), page 194-197. Association for Computational Linguistics, (2017)