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2019
Drinks & Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media, Thanh-Trung Phan, Skanda Muralidhar and Daniel Gatica-Perez, in: Journal and Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT '19), 2019
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#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram, Thanh-Trung Phan, Skanda Muralidhar and Daniel Gatica-Perez, in: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, Trento, Italy, 2019
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Deep Residual Output Layers for Neural Language Generation, Nikolaos Pappas and James Henderson, in: Proceedings of the 36th International Conference on Machine Learning (ICML), 2019
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Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis, Yu Yu, Gang Liu and Jean-Marc Odobez, in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019
AN INVESTIGATION OF MULTILINGUAL ASR USING END-TO-END LF-MMI, Sibo Tong, Philip N. Garner and Hervé Bourlard, in: International Conference on Acoustics, Speech and Signal Processing, 2019
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A Deep Learning Approach for Robust Head Pose Independent Eye Movements Recognition from Videos, Remy Siegfried, Yu Yu and Jean-Marc Odobez, in: 2019 ACM Symposium on Eye Tracking Research and Applications, pages 5, ACM, 2019
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PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT BASED ON THE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE, Parvaneh Janbakhshi, Ina Kodrasi and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, pages 6405--6409, 2019
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ANALYZING UNCERTAINTIES IN SPEECH RECOGNITION USING DROPOUT, Apoorv Vyas, Pranay Dighe, Sibo Tong and Hervé Bourlard, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Adaptation of Multiple Sound Source Localization Neural Networks with Weak Supervision and Domain-Adversarial Training, Weipeng He, Petr Motlicek and Jean-Marc Odobez, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, United Kingdom, pages 770-774, 2019
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EMPIRICAL EVALUATION AND COMBINATION OF PUNCTUATION PREDICTION MODELS APPLIED TO BROADCAST NEWS, Alexandre Nanchen and Philip N. Garner, in: Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019
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A Learning-Based Framework for Quantized Compressed Sensing, rabeeh karimi mahabadi, Junhong lin and Volkan Cevher, in: A Learning-Based Framework for Quantized Compressed Sensing, 2019
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Improving Children Speech Recognition through Feature Learning from Raw Speech Signal, S. Pavankumar Dubagunta, Selen Hande Kabil and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Learning voice source related information for depression detection, S. Pavankumar Dubagunta, Bogdan Vlasenko and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Segment-level training of ANNs based on acoustic confidence measures for hybrid HMM/ANN Speech Recognition, S. Pavankumar Dubagunta and Mathew Magimai.-Doss, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models, Julian Fritsch, Sebastian Wankerl and Elmar Nöth, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
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GILE: A Generalized Input-Label Embedding for Text Classification, Nikolaos Pappas and James Henderson, in: Transactions of the Association for Computational Linguistics (TACL), 2019
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Adaptation of Assistant Based Speech Recognition to New Domains and Its Acceptance by Air Traffic Controllers, Matthias Kleinert, Hartmut Helmke, Gerald Siol, heiko Ehr, Dietrich Klakow, Mittul Singh, Petr Motlicek, Kern Christian, Cerna Aneta and Hlousek Petr, in: Proceedings of the 2nd International Conference on Intelligent Human Systems Integration (IHSI 2019): Integrating People and Intelligent Systems, San Diego, California, USA, pages 820 - 826, 2019
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Multi-Spectral Widefield Microscopy of the Beating Heart through Post-Acquisition Synchronization and Unmixing, Christian Jaques, Linda Bapst-Wicht, Daniel F. Schorderet and Michael Liebling, in: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Venice, Italy, pages 1382-1385, 2019
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Improving speech embedding using crossmodal transfer learning with audio-visual data, Nam Le and Jean-Marc Odobez, in: Multimedia Tools and Applications, 78(11):15681-15704, 2019
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Remote Blood Pulse Analysis for Face Presentation Attack Detection, Guillaume Heusch and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing, Springer, 2019
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Evaluation Methodologies for Biometric Presentation Attack Detection, Ivana Chingovska, Amir Mohammadi, André Anjos and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing, Springer International Publishing, 2019
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An Introduction to Vein Presentation Attacks and Detection, André Anjos, Pedro Tome and Sébastien Marcel, in: Handbook of Biometric Anti-Spoofing, Springer International Publishing, 2019
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Learning from Demonstration (Programming by Demonstration), Sylvain Calinon, in: Encyclopedia of Robotics, Springer, 2019
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Small Variance Asymptotics for Non-Parametric Online Robot Learning, A. K. Tanwani and Sylvain Calinon, in: International Journal of Robotics Research (IJRR), 38(1):3-22, 2019
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Learning Task Priorities from Demonstrations, J. Silverio, Sylvain Calinon, L. Rozo and D. G. Caldwell, in: IEEE Transactions on Robotics, 35(1):78-94, 2019
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