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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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Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling, Ramya Rasipuram, Marzieh Razavi and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, South Brisbane, QLD, pages 5176-5180, 2015
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Probabilistic Lexical Modeling and Unsupervised Training for Zero-Resourced ASR, Ramya Rasipuram, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013
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Mode of Teaching Based Segmentation and Annotation of Video Lectures, Yogesh Singh Rawat, Chidansh A. Bhatt and Mohan S. Kankanhalli, in: International Workshop on Content-Based Multimedia Indexing, 2014
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An HMM-Based Formalism for Automatic Subword Unit Derivation and Pronunciation Generation, Marzieh Razavi and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech and Signal Processing, pages 4639-4643, IEEE, 2015
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On Recognition of Non-Native Speech Using Probabilistic Lexical Model, Marzieh Razavi and Mathew Magimai.-Doss, in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), 2014
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On Modeling Context-Dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, Marzieh Razavi, Ramya Rasipuram and Mathew Magimai.-Doss, in: International Conference on Acoustics, Speech, and Signal Processing, Florence, IT, pages 7659 - 7663, IEEE, 2014
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Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, Behrooz Razeghi, Parsa Rahimi and Sébastien Marcel, in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024
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Learning Joint Space Reference Manifold for Reliable Physical Assistance, Amirreza Razmjoo, Tilen Brecelj, Kristina Savevska, Ales Ude, Tadej Petric and Sylvain Calinon, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 10412-10417, 2023
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Theories and Models of Teams and Group, R. Reiter-Palmon, T. Sinha, J. Gevers, Jean-Marc Odobez and G. Volpe, in: Small Group Research, 48(5):544--567, 2017
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ROCKIT: Roadmap for Conversational Interaction Technologies, Steve Renals, Jean Carletta, K Edwards, Hervé Bourlard, Philip N. Garner, Andrei Popescu-Belis, Dietrich Klakow, A Girenko, Volha Petukhova, P Wacker, A Joscelyne, C Kompis, S Aliwell, W Stevens and Y Sabbah, in: Proceedings of the 2014 Workshop on Roadmapping the Future of Multimodal Interaction Research including Business Opportunities and Challenges (RFMIR '14), pages 39-42, ACM, 2014
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Recognition and Understanding of Meetings The AMI and AMIDA Projects, Steve Renals, Thomas Hain and Hervé Bourlard, in: Proc. of the IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU'07, 2007
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Statistical Models in Automatic Speech Recognition, Sandrine Revaz, University of Fribourg, Department of Mathematics, 2015
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Learning Large Margin Likelihood for Realtime Head Pose Tracking, Elisa Ricci and Jean-Marc Odobez, in: IEEE Int. Conference on Image Processing, Cairo, Egypt, IEEE, 2009
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Detection and Application of Influence Rankings in Small Group Meetings, Rutger Rienks, Dong Zhang, Daniel Gatica-Perez and Wilfried Post, in: In the Eighth International Conference on Multimodal Interfaces (ICMI'06), 2006
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