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| Applying multi- and cross-lingual stochastic phone space transformations to non-native speech recognition, , , , and , in: IEEE Transactions on Audio, Speech, and Language Processing, 2013 |
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| Improving non-native ASR through stochastic multilingual phoneme space transformations, , , , and , Idiap-RR-19-2011 |
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| Improving non-native ASR through stochastic multilingual phoneme space transformations, , , , and , in: Proceedings of Interspeech, Florence, Italy, pages 537-540, 2011 |
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| Using KL-divergence and multilingual information to improve ASR for under-resourced languages, , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Kyoto, pages 4869--4872, 2012 |
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| Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans, , and , in: Proceedings of the 3rd International Workshop on Spoken Languages Technologies for Under-resourced Languages, Cape Town, pages 60--67, 2012 |
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| Boosting under-resourced speech recognizers by exploiting out of language data - Case study on Afrikaans, , and , Idiap-RR-15-2012 |
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| Towards mixed language speech recognition systems, , and , Idiap-RR-15-2010 |
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| Towards mixed language speech recognition systems, , and , in: Proceedings of Interspeech, Makuhari, Japan, pages 278-281, 2010 |
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| Language dependent universal phoneme posterior estimation for mixed language speech recognition, , , and , Idiap-RR-13-2011 |
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| Language dependent universal phoneme posterior estimation for mixed language speech recognition, , , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Prag, CZ, pages 5012-5015, 2011 |
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| Decision tree clustering for KL-HMM, and , Idiap-Com-01-2012 |
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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , Idiap-RR-01-2013 |
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| Comparing different acoustic modeling techniques for multilingual boosting, , , , and , in: Proceedings of Interspeech, Portland, Oregon, 2012 |
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| Tuning-Robust Initialization Methods for Speaker Diarization, and , Idiap-RR-35-2010 |
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| An Adaptive Initialization Method for Speaker Diarization based on Prosodic Features, and , Idiap-RR-02-2010 |
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| An Adaptive Initialization Method for Speaker Diarization based on Prosodic Features, and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, USA, pages 4946-4949, 2010 |
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| Tuning-Robust Initialization Methods for Speaker Diarization, and , in: IEEE Transactions on Audio, Speech, and Language Processing, 18(8):2028-2037, 2010 |
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| Robust Speaker Diarization for Short Speech Recordings, and , Idiap-RR-26-2009 |
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| Robust Speaker Diarization for Short Speech Recordings, and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Merano, Italy, pages 432-437, 2009 |
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| Hierarchical Multilayer Perceptron based Language Identification, , and , Idiap-RR-14-2010 |
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| Hierarchical Multilayer Perceptron based Language Identification, , and , in: Proceedings of Interspeech, Makuhari, Japan, pages 2722-2725, 2010 |
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| Using out-of-language data to improve an under-resourced speech recognizer, , , and , in: Speech Communication, 2013 |
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| Using out-of-language data to improve an under-resourced speech recognizer, , , and , Idiap-RR-09-2013 |
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| Impact of deep MLP architecture on different acoustic modeling techniques for under-resourced speech recognition, , , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, 2013 |
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| Exploiting un-transcribed foreign data for speech recognition in well-resourced languages, , , , and , in: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, IT, pages 2322 - 2326, IEEE, 2014 |
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| Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition, , and , Idiap-RR-01-2012 |
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| Fast and flexible Kullback-Leibler divergence based acoustic modeling for non-native speech recognition, , and , in: Proceedings of the IEEE workshop on Automatic Speech Recognition and Understanding, Hawaii, USA, pages 348-353, 2011 |
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| Compositionality in English deverbal compounds:The role of the head, , and , in: The role of constituents in multiword expressions. Phraseology and Multiword Expressions, Language Science Press, Berlin, 2020 |
| Improving callsign recognition with air-surveillance data in air-traffic communication, , , and , Idiap-RR-20-2021 |
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| A two-step approach to leverage contextual data: speech recognition in air-traffic communications, , , , and , in: Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 |
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| Implementing contextual biasing in GPU decoder for online ASR, , , , , , and , Idiap-RR-02-2023 |
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| Implementing contextual biasing in GPU decoder for online ASR, , , , , , and , in: Proc. Interspeech 2023, 2023 |
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| Enhancing Trust in eAssessment - the TeSLA System Solution, , , , and , in: Technology Enhanced Assessment Conference., 2018 |
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| Human-centered Computing: Toward a Human Revolution, , , and , in: IEEE Computer, 40(5), 2007 |
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| Human-Centered Computing: Toward a Human Revolution, , , and , Idiap-RR-57-2007 |
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| Improving Generalization of Deepfake Detection by Training for Attribution, , and , in: International Workshop on Multimedia Signal Processing, 2021 |
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| Automatic pathological speech assessment, , École polytechnique fédérale de Lausanne, 2022 |
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| Experimental investigation on STFT phase Representations for deep learning-based dysarthric speech detection, and , in: International Conference on Acoustics, Speech, and Signal Processing, 2022 |
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| Adversarial-free speaker identity-invariant representation learning for automatic dysarthric speech classification, and , in: Annual Conference of the International Speech Communication Association, 2022 |
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| Supervised Speech Representation Learning for Parkinson's Disease Classification, and , Idiap-RR-08-2021 |
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| Supervised Speech Representation Learning for Parkinson's Disease Classification, and , in: ITG Conference on Speech Communication, 2021 |
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| AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, , and , in: 45th International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, pages 7328–7332, 2021 |
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| SYNTHETIC SPEECH REFERENCES FOR AUTOMATIC PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT, , and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020 |
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| Automatic pathological speech intelligibility assessment exploiting subspace-based analyses, , and , in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1717 - 1728, 2020 |
[DOI] |
| AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, , and , Idiap-RR-32-2020 |
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| Subspace-based Learning for Automatic Dysarthric Speech Detection, , and , in: IEEE Signal Processing Letters, 2020 |
| PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT BASED ON THE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, pages 6405--6409, 2019 |
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| Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility, , and , in: Proceedings of Interspeech, Graz, Austria, pages 3038--3042, 2019 |
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| VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior, , , and , Idiap-RR-04-2023 |
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| VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior, , , and , in: Proc. IEEE International Conference on Robotics and Automation (ICRA), 2023 |
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