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Incorporating End-to-End Speech Recognition Models for Sentiment Analysis.

, , , , and . ICRA, page 7976-7982. IEEE, (2019)

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Interaction is More Beneficial in Complex Reinforcement Learning Problems than in Simple Ones, , , and . Interdisziplinärer Workshop Kognitive Systeme: Mensch, Teams, Systeme und Automaten, page 142-150. (March 2015)Robot Docking Based on Omnidirectional Vision and Reinforcement Learning., , and . SGAI Conf., page 23-36. Springer, (2005)KT-Speech-Crawler: Automatic Dataset Construction for Speech Recognition from YouTube Videos., , , and . CoRR, (2019)How do we approach intrinsic motivation computationally.. Frontiers Neurorobotics, (2008)Disentangling Prosody Representations With Unsupervised Speech Reconstruction., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Lifelong Learning from Event-based Data., , , and . ESANN, (2021)What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning., , , , and . IJCAI, page 1039-1045. ijcai.org, (2022)A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning., , , , and . LREC, page 6829-6836. European Language Resources Association, (2022)Virtual or Physical? Social Robots Teaching a Fictional Language Through a Role-Playing Game Inspired by Game of Thrones., , , , , , , , , and 10 other author(s). ICSR, volume 11876 of Lecture Notes in Computer Science, page 358-367. Springer, (2019)Predictive Auxiliary Variational Autoencoder for Representation Learning of Global Speech Characteristics., , , and . INTERSPEECH, page 934-938. ISCA, (2019)