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| Two-Pass IB based Speaker Diarization System using Meeting-Specific ANN based Features, , , and , Idiap-RR-09-2018 |
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| Two-Pass IB based Speaker Diarization System using Meeting-Specific ANN based Features, , , and , in: Proceedings of Interspeech 2016, pages 2199-2203, 2016 |
| Face Recognition systems: performance evaluation and bias analysis, , Idiap-Com-04-2020 |
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| Learning How To Recognize Faces in Heterogeneous Environments, , Ecole Polytechnique Federale de Lausanne, 2019 |
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| Can face anti-spoofing countermeasures work in a real world scenario?, , , and , in: International Conference on Biometrics, Madrid, Spain, 2013 |
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| LBP-TOP based countermeasure against face spoofing attacks, , , and , in: International Workshop on Computer Vision With Local Binary Pattern Variants - ACCV, pages 12, 2012 |
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| Heterogeneous Face Recognition Using Domain Specific Units, , and , in: IEEE Transactions on Information Forensics and Security:13, 2019 |
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| Face liveness detection using dynamic texture, , , , , , and , in: EURASIP Journal on Image and Video Processing, 2, 2014 |
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| Fairness in Biometrics: a figure of merit to assess biometric verification systems, and , in: IEEE Transactions on Biometrics, Behavior, and Identity Science, 2021 |
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| Fairness in Biometrics: a figure of merit to assess biometric verification systems, and , in: arXiv, 2020 |
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| Heterogeneous Face Recognition using Inter-Session Variability Modelling, and , in: IEEE Computer Society Workshop on Biometrics, Las Vegas - USA, IEEE, 2016 |
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| Periocular Biometrics in Mobile Environment, and , in: IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems, Arlington, USA, pages 1-7, IEEE, 2015 |
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| Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues, , , , , and , Idiap-RR-09-2022 |
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| Evaluation of Formant-Like Features for Automatic Speech Recognition, , , , , and , in: Journal of the Acoustical Society of America (JASA), 116(3), 2004 |
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| Evaluation of formant-like features for automatic speech recognition, , , , , and , Idiap-RR-08-2003 |
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| Speech prosody enhances the neural processing of syntax, , , , and , in: Communications Biology, 7(748), 2024 |
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| Professional YouTubers’ health videos as research material: Formulating a multi-method design in health psychology, , , , and , in: Methods in Psychology, Special Issue on Innovations in Qualitative Research, 5, 2021 |
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| Suggesting disease associations for overlooked metabolites using literature from metabolic neighbors, , , , , , , , and , in: GigaScience, 12:13, 2023 |
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| Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation Approach, , and , in: Computational Linguistics, Volume 50(Issue 3):953–1000, 2024 |
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| Ranking parameters in urban energy models for various building forms and climates using sensitivity analysis, , , and , in: Building Simulation, 2022 |
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| How spatio-temporal resolution impacts urban energy calibration, , , , , and , in: Energy and Buildings, 292(113175), 2023 |
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| Decision-Oriented Environmental Mapping with Radial Basis Function Neural Networks, , , , and , in: Intelligent techniques for Spatio-Temporal Data Analysis in Environmental Applications. Workshop W07, 1999 |
| Indoor Radon Risk Assessment with Geostatistics and Artificial Neural Networks, , , , , , and , in: Geostatistical congress 2000, 2000 |
| Neural Network Residual Stochastic Co-simulation for Environmental Data Analysis, , , , and , in: Neural Computation 2000, 2000 |
| Phonetic aware techniques for Speaker Verification, , EPFL, 2018 |
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| CONTENT NORMALIZATION FOR TEXT-INDEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-31-2017 |
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| DNN based speaker embedding using content information for text-dependent speaker verification, , , and , Idiap-RR-06-2018 |
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| DNN based speaker embedding using content information for text-dependent speaker verification, , , and , in: Proceedings of 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2018 |
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| DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-08-2016 |
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| DEEP NEURAL NETWORK BASED POSTERIORS FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5050-5054, IEEE, 2016 |
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| End-to-end text-dependent speaker verification using novel distance measures, , and , in: Proceedings of Interspeech 2018, Hyderabad, INDIA, Aug 02-Sep 06, 2018, pages 3598-3602, 2018 |
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| INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, , and , Idiap-RR-09-2016 |
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| INFORMATION THEORETIC CLUSTERING FOR UNSUPERVISED DOMAIN-ADAPTATION, , and , in: Proceedings of 2016 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, pages 5580-5584, IEEE, 2016 |
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| Content Normalization for Text-dependent Speaker Verification, , , and , in: Proc. of Interspeech, 2017 |
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| Exploiting semi-supervised training through a dropout regularization in end-to-end speech recognition, , , and , in: Proc. of Interspeech 2019, 2019 |
| Template-matching for Text-dependent Speaker Verification, , , and , Idiap-RR-32-2017 |
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| EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , Idiap-RR-04-2017 |
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| EXPLOITING SEQUENCE INFORMATION FOR TEXT-DEPENDENT SPEAKER VERIFICATION, , , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, New Orleans, pages 5370-5374, 2017 |
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| Template-matching for Text-dependent Speaker Verification, , , and , in: Speech Communication, 2017 |
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| Automatic detection of the visual gaze components of joint attention in observational, naturalistic child language acquisition data, , , , , and , in: Boston University Conference on Language Development, 2024 |
| Floor Holder Detection and End of Speaker Turn Prediction in Meetings, , and , in: International Conference on Speech and Language Processing, Interspeech, Makuhari, Japan, ISCA, 2010 |
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| Sparse and Low-rank Modeling for Automatic Speech Recognition, , EPFL, 2019 |
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| On quantifying the quality of acoustic models in hybrid DNN-HMM ASR, , and , in: Speech Communication, 119:24-35, 2020 |
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| Low-rank and Sparse Soft Targets to Learn Better DNN Acoustic Models, , and , in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017 |
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| Exploiting Eigenposteriors for Semi-supervised Training of DNN Acoustic Models with Sequence Discrimination, , and , in: Proceedings of Interspeech, 2017 |
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| Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-based Speech Recognition, , and , in: Speech Communication: Special Issue on Advances in Sparse Modeling and Low-rank Modeling for Speech Processing, 76:230–244, 2016 |
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| Sparse Hidden Markov Models for Exemplar-based Speech Recognition Using Deep Neural Network Posterior Features, , and , Idiap-RR-19-2016 |
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| Sparse Modeling of Neural Network Posterior Probabilities for Exemplar-Based Speech Recognition, , and , in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015 |
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| Dictionary Learning for Sparse Representation of Neural Network Exemplars in Speech Recognition, , and , in: Proceedings of SPARS 2015: Workshop on Signal Processing with Adaptive Sparse Structured Representations, 2015, pages 1093, 2015 |
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| Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data, , and , in: IEEE Workshop on Spoken Language Technology, Athens, GREECE, pages 581-587, IEEE, 2018 |
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