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Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model, and , in: Speech Communication, 68:23–40, 2015 |
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Acoustic and Lexical Resource Constrained ASR using Language-Independent Acoustic Model and Language-Dependent Probabilistic Lexical Model, and , Idiap-RR-02-2014 |
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Articulatory Feature based Continuous Speech Recognition using Probabilistic Lexical Modeling, and , Idiap-RR-19-2014 |
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KL-HMM and Probabilistic Lexical Modeling, and , Idiap-RR-04-2013 |
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Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , Idiap-RR-14-2013 |
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Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition, and , Idiap-RR-15-2013 |
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Improving Grapheme-based ASR by Probabilistic Lexical Modeling Approach, and , in: Proceedings of Interspeech, 2013 |
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Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, 2012 |
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Combining Acoustic Data Driven G2P and Letter-to-Sound Rules for Under Resource Lexicon Generation, and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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Integrating Articulatory Features using Kullback-Leibler Divergence based Acoustic Model for Phoneme Recognition, and , Idiap-RR-02-2011 |
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Multitask Learning to Improve Articulatory Feature Estimation and Phoneme Recognition, and , Idiap-RR-21-2011 |
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Improving Articulatory Feature and Phoneme Recognition using Multitask Learning, and , 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, and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, pages 5192 - 5195, 2011 |
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Acoustic Data-driven Grapheme-to-Phoneme Conversion using KL-HMM, and , Idiap-RR-38-2011 |
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Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling, , and , 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, , and , 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, , and , in: International Workshop on Content-Based Multimedia Indexing, 2014 |
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On Modeling the Synergy Between Acoustic and Lexical Information for Pronunciation Lexicon Development, , École polytechnique fédérale de Lausanne (EPFL), 2017 |
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A Posterior-Based Multi-Stream Formulation for G2P Conversion, and , in: IEEE Signal Processing Letters, 2017 |
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Improving Under-Resourced Language ASR Through Latent Subword Unit Space Discovery, and , in: Proceedings of Interspeech, 2016 |
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An HMM-Based Formalism for Automatic Subword Unit Derivation and Pronunciation Generation, and , in: International Conference on Acoustics, Speech and Signal Processing, pages 4639-4643, IEEE, 2015 |
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Posterior-Based Multi-Stream Formulation To Combine Multiple Grapheme-to-Phoneme Conversion Techniques, and , Idiap-RR-33-2015 |
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On Recognition of Non-Native Speech Using Probabilistic Lexical Model, and , in: Proceedings of the 15th Annual Conference of the International Speech Communication Association (Interspeech 2014), 2014 |
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Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , in: Speech Communication, 96:168-183, 2018 |
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Towards Weakly Supervised Acoustic Subword Unit Discovery and Lexicon Development Using Hidden Markov Models, , and , Idiap-RR-15-2017 |
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Acoustic data-driven grapheme-to-phoneme conversion in the probabilistic lexical modeling framework, , and , in: Speech Communication, 80, 2016 |
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On the Application of Automatic Subword Unit Derivation and Pronunciation Generation for Under-Resourced Language ASR: A Study on Scottish Gaelic, , and , Idiap-RR-13-2015 |
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Acoustic Data-Driven Grapheme-to-Phoneme Conversion in the Probabilistic Lexical Modeling Framework, , and , Idiap-RR-10-2015 |
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Towards Multiple Pronunciation Generation in Acoustic G2P Conversion Framework, , and , Idiap-RR-34-2015 |
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Pronunciation Lexicon Development for Under-Resourced Languages Using Automatically Derived Subword Units: A Case Study on Scottish Gaelic, , and , in: 4th Biennial Workshop on Less-Resourced Languages, 2015 |
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On Modeling Context-Dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , in: International Conference on Acoustics, Speech, and Signal Processing, Florence, IT, pages 7659 - 7663, IEEE, 2014 |
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On Modeling Context-dependent Clustered States: Comparing HMM/GMM, Hybrid HMM/ANN and KL-HMM Approaches, , and , Idiap-RR-43-2013 |
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Group Membership Verification via Nonlinear Sparsifying Transform Learning, , , , , , and , in: IEEE Access, 12:86739-86751, 2024 |
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Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition, , and , in: 49th IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, 2024 |
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Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with an Application to Face Recognition, , and , Idiap-RR-02-2024 |
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Learning Joint Space Reference Manifold for Reliable Physical Assistance, , , , , and , in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), pages 10412-10417, 2023 |
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Optimal Control Combining Emulation and Imitation to Acquire Physical Assistance Skills, , and , in: Proc. IEEE Intl Conf. on Advanced Robotics (ICAR), 2021 |
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Theories and Models of Teams and Group, , , , and , in: Small Group Research, 48(5):544--567, 2017 |
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Multimodal Signal Processing: Human Interactions in Meetings, , , and , Cambridge University Press, 2012 |
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ROCKIT: Roadmap for Conversational Interaction Technologies, , , , , , , , , , , , , , and , 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, , and , in: Proc. of the IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU'07, 2007 |
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Recognition and Understanding of Meetings The AMI and AMIDA Projects, , and , Idiap-RR-46-2007 |
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Development of a lung segmentation algorithm for analog imaged chest X-Ray: preliminary results, , , , and , in: XV Brazilian Congress on Computational Intelligence, Joinville, Brazil, 2021 |
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Statistical Models in Automatic Speech Recognition, , University of Fribourg, Department of Mathematics, 2015 |
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Baseline System for Automatic Speech Recognition with French GlobalPhone Database, and , Idiap-RR-26-2012 |
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Managing IDIAP Inventory (Computers, Components, Software and Licences), and , Idiap-Com-04-2006 |
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ORGIDIAP : le couteau suisse pour la gestion d'une entreprise, and , Idiap-Com-05-2006 |
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Trust indicators and explainable AI: A study on user perceptions, , , , , , and , in: Proc. Int. Conf. on Human-Computer Interaction, Bari, Italy, 2021 |
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Learning Large Margin Likelihood for Realtime Head Pose Tracking, and , in: IEEE Int. Conference on Image Processing, Cairo, Egypt, IEEE, 2009 |
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Multi Modal Verification for Teleservices and Security Applications, , , , , , , , , , , , , , , , , , , , , , , , , , , , , and , in: IEEE International Conference on Multimedia Computing and Systems, 1999 |
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