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2020
2019
End-to-End Accented Speech Recognition, Thibault Viglino, Petr Motlicek and Milos Cernak, in: International Conference on Speech and Language Processing, Interspeech, ISCA, Graz, Austria, pages 2140-2144, 2019
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AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS, Petr Motlicek, Hynek Hermansky, Srikanth Madikeri, Amrutha Prasad and Sriram Ganapathy, in: 11th International workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, Universita Degli Studi Firenze, Firenze, Italy, 2019
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Implicit discourse relation classification with syntax-aware contextualized word representations, D. N. Popa, J. Perez, James Henderson and E. Gaussier, in: Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, 2019
Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings, Haozhou Wang, James Henderson and Paola Merlo, in: Proc. 2019 Conference on Empirical Methods in Natural Language Processing, 2019
Joint estimation of RETF vector and power spectral densities for speech enhancement based on alternating least squares, Marvin Tammen, Ina Kodrasi and Simon Doclo, in: IEEE International Conference on Acoustics, Speech and Signal Processing, pages 795--799, 2019
Learning an event sequence embedding for event-based deep stereo, Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler and Michael Hirsch, in: Proceedings of the IEEE International Conference on Computer Vision, 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient, Tatjana Chavdarova, Gauthier Gidel, Francois Fleuret and Simon Lacoste-Julien, in: Proceedings of the international conference on Neural Information Processing Systems, 2019
Uncertainty-aware imitation learning using kernelized movement primitives, J. Silverio, Y. Huang, F. J. Abu-Dakka, L. Rozo and D. G. Caldwell, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
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Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task, Alireza Mohammadshahi, Karl Aberer and Rémi Lebret, in: Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER), Hong Kong, pages 27-33, Association for Computational Linguistics, 2019
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Neural VTLN for Speaker Adaptation in TTS, Bastian Schnell and Philip N. Garner, in: Proc. 10th ISCA Speech Synthesis Workshop, ISCA, Vienna, Austria, pages 6, 2019
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On the Recognition Performance of BioHash-Protected Finger Vein Templates, Vedrana Krivokuca and Sébastien Marcel, in: Handbook of Vascular Biometrics, pages 465-480, Springer Open, 2019
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Mixture Models for the Analysis, Edition, and Synthesis of Continuous Time Series, Sylvain Calinon, in: Mixture Models and Applications, pages 39-57, Springer, 2019
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Interactive Generation of Calligraphic Trajectories from Gaussian Mixtures, D. Berio, F. F. Leymarie and Sylvain Calinon, in: Mixture Models and Applications, pages 23-38, Springer, 2019
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Improving dual-arm assembly by master-slave compliance, M. Suomalainen, Sylvain Calinon, E. Pignat and V. Kyrki, in: Proc. IEEE Intl Conf. on Robotics and Automation, pages 8676-8682, 2019
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Bayesian Gaussian mixture model for robotic policy imitation, Emmanuel Pignat and Sylvain Calinon, in: IEEE Robotics and Automation Letters, 4(4):4452 - 4458, 2019
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CityLearn v1.0: An OpenAI Gym Environment for Demand Response with Deep Reinforcement Learning, José Vázquez-Canteli, Jérôme Kämpf, Gregor Henze and Zoltán Nagy, in: Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, New-York, USA, pages 356-357, ACM, 2019
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