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Synergizing Natural Language Towards Enhanced Shared Autonomy, Shalutha Rajapakshe, Atharva Dastenavar and Emmanuel Senft, in: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
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SimpleMKL, Alain Rakotomamonjy, Francis Bach, Stéphane Canu and Yves Grandvalet, in: Journal of Machine Learning Research, 9, 2008
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More Efficiency in Multiple Kernel Learning, Alain Rakotomamonjy, Francis Bach, Stéphane Canu and Yves Grandvalet, in: International Conference on Machine Learning (ICML), 2007
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Language Independent Query by Example Spoken Term Detection, Dhananjay Ram, École Polytechnique Fédérale de Lausanne, 2019
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Sparse Subspace Modeling for Query by Example Spoken Term Detection, Dhananjay Ram, Afsaneh Asaei and Hervé Bourlard, in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018
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Subspace Regularized Dynamic Time Warping for Spoken Query Detection, Dhananjay Ram, Afsaneh Asaei and Hervé Bourlard, in: Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2017
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Neural Network based End-to-End Query by Example Spoken Term Detection, Dhananjay Ram, Lesly Miculicich and Hervé Bourlard, in: IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 2020
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Multilingual Bottleneck Features for Query by Example Spoken Term Detection, Dhananjay Ram, Lesly Miculicich and Hervé Bourlard, in: IEEE Automatic Speech Recognition and Understanding Workshop, 2019
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CONTEXT-AWARE ATTENTION MECHANISM FOR SPEECH EMOTION RECOGNITION, Gaetan Ramet, Philip N. Garner, Michael Baeriswyl and Alexandros Lazaridis, in: IEEE Workshop on Spoken Language Technology, Athens, Greece, pages 126-131, 2018
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Transformers, Tables and Frame Semantics, Mario Ramirez, Alex Bogatu, Norman Paton and Andre Freitas, in: International Conference on Semantic Computing, 2023
Speech Enhancement using an Improved MMSE Estimator with Laplacian Prior, Mehdi Rashidinejad, Hamid Reza Abutalebi and Ali Akbar Tadaion, in: Proceedings of 5th International Symposium on Telecommunications, 2010
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Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, Ramya Rasipuram and Mathew Magimai.-Doss, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012
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Improving Articulatory Feature and Phoneme Recognition using Multitask Learning, Ramya Rasipuram and Mathew Magimai.-Doss, in: Artificial Neural Networks and Machine Learning - ICANN 2011, pages 299-306, Springer Berlin / Heidelberg, 2011
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Integrating articulatory features using Kullback-Leibler divergence based acoustic model for phoneme recognition, Ramya Rasipuram and Mathew Magimai.-Doss, in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pages 5192 - 5195, 2011
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