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| Grapheme and Multilingual Posterior Features for Under-Resourced Speech Recognition: A Study on Scottish Gaelic, , and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 |
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| Grapheme and Multilingual Posterior Features For Under-Resource Speech Recognition: A Study on Scottish Gaelic, , and , Idiap-RR-34-2012 |
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| HMM-based Non-native Accent Assessment using Posterior Features, , and , in: Proceedings of Interspeech, San Francisco, USA, 2016 |
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| HMM-based Non-native Accent Assessment using Posterior Features, , and , Idiap-RR-32-2015 |
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| Automatic Accentedness Evaluation of Non-Native Speech Using Phonetic and Sub-Phonetic Posterior Probabilities, , , and , Idiap-RR-12-2015 |
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| Automatic Accentedness Evaluation of Non-Native Speech Using Phonetic and Sub-Phonetic Posterior Probabilities, , , and , in: Proceedings of Interspeech, 2015 |
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| Articulatory feature based continuous speech recognition using probabilistic lexical modeling, and , in: Computer Speech and Language, 36:233-259, 2016 |
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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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