| Toward a realistic model of speech processing in the brain with self-supervised learning J Millet, C Caucheteux, Y Boubenec, A Gramfort, E Dunbar, C Pallier, ... Advances in Neural Information Processing Systems 35, 33428-33443, 2022 | 114 | 2022 |
| Learning to detect dysarthria from raw speech J Millet, N Zeghidour ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 50 | 2019 |
| Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech J Millet, JR King arXiv preprint arXiv:2103.01032, 2021 | 33 | 2021 |
| Do self-supervised speech models develop human-like perception biases? J Millet, E Dunbar arXiv preprint arXiv:2205.15819, 2022 | 20 | 2022 |
| Independent and automatic evaluation of speaker-independent acoustic-to-articulatory reconstruction M Parrot, J Millet, E Dunbar Interspeech 2020-21st Annual Conference of the International Speech …, 2020 | 17 | 2020 |
| Predicting non-native speech perception using the perceptual assimilation model and state-of-the-art acoustic models J Millet, I Chitoran, E Dunbar arXiv preprint arXiv:2205.15823, 2022 | 13 | 2022 |
| Effects of acute heat and cold exposures at rest or during exercise on subsequent energy intake: A systematic review and meta-analysis J Millet, J Siracusa, PE Tardo-Dino, D Thivel, N Koulmann, A Malgoyre, ... Nutrients 13 (10), 3424, 2021 | 13 | 2021 |
| Comparing unsupervised speech learning directly to human performance inspeech perception J Millet, N Jurov, E Dunbar Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 10 | 2019 |
| Toward a realistic model of speech processing in the brain with self-supervised learning. arXiv J Millet, C Caucheteux, P Orhan, Y Boubenec, A Gramfort, E Dunbar, ... arXiv preprint arXiv:2206.01685, 2022 | 9 | 2022 |
| Independent and automatic evaluation of acoustic-to-articulatory inversion models M Parrot, J Millet, E Dunbar arXiv preprint arXiv:1911.06573, 2019 | 8 | 2019 |
| The perceptimatic English benchmark for speech perception models J Millet, E Dunbar arXiv preprint arXiv:2005.03418, 2020 | 6 | 2020 |
| Perceptimatic: A human speech perception benchmark for unsupervised subword modelling J Millet, E Dunbar arXiv preprint arXiv:2010.05961, 2020 | 4 | 2020 |
| The impact of 16-h heat exposure on appetite and food reward in adults K Charlot, J Millet, F Pasquier, P Oustric, G Finlayson, P Van Beers, ... Appetite 177, 106144, 2022 | 2 | 2022 |
| Animal lingui stics and the puzzl e of titi monkeys alarm sequence M Berthet, J Benjumea, J Millet, C Cäsar, K Zuberbühler, E Dunbar Proceedings of the Amsterdam Colloquium, 533-542, 2019 | 2 | 2019 |
| Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity: transversal study J Frija, J Millet, E Béquignon, A Covali, G Cathelain, J Houenou, ... arXiv preprint arXiv:2406.16953, 2024 | 1 | 2024 |
| Combining Signals for EEG-Free Arousal Detection during Home Sleep Testing: A Retrospective Study S Boudabous, J Millet, E Bacry Diagnostics 14 (18), 2077, 2024 | | 2024 |
| Validation of a new, minimally-invasive, software smartphone device to predict sleep apnoea and its severity J Frija-Masson, J Millet, G Cathelain, E Bequignon, A Covali, J Houenou, ... JOURNAL OF SLEEP RESEARCH 33, 2024 | | 2024 |
| Wrong HAL Entry J Millet, C Caucheteux, P Orhan, Y Boubenec, A Gramfort, JR King, ... NeurIPS 2022-Thirty-sixth Conference on Neural Information Processing Systems, 2022 | | 2022 |
| Validation of a new, minimally-invasive, software smartphone device to predict sleep apnea and its severity J Millet, J Frija-Masson, G Cathelain, E Bequignon, A Covali, J Houenou, ... European Respiratory Journal 64 (suppl 68), 0 | | |
| CAN EMOTIONAL COMMUNICATION BE SEMANTICALLY RICH? THE CASE OF TITI MONKEYS M BERTHET, J BENJUMEA, J MILLET, C CÄSAR, K ZUBERBÜHLER, ... | | |
