| Pyannote. audio: neural building blocks for speaker diarization H Bredin, R Yin, JM Coria, G Gelly, P Korshunov, M Lavechin, D Fustes, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 215 | 2020 |
| A thorough evaluation of the Language Environment Analysis (LENA) system A Cristia, M Lavechin, C Scaff, M Soderstrom, C Rowland, O Räsänen, ... Behavior research methods 53, 467-486, 2021 | 106 | 2021 |
| End-to-end domain-adversarial voice activity detection M Lavechin, MP Gill, R Bousbib, H Bredin, LP Garcia-Perera Interspeech 2020, 2019 | 50 | 2019 |
| An open-source voice type classifier for child-centered daylong recordings M Lavechin, R Bousbib, H Bredin, E Dupoux, A Cristia Interspeech 2020, 2020 | 49 | 2020 |
| ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings O Räsänen, S Seshadri, M Lavechin, A Cristia, M Casillas Behavior Research Methods 53, 818-835, 2021 | 44 | 2021 |
| Speaker Detection in the Wild: Lessons Learned from JSALT 2019 LPG Perera, J Villalba, H Bredin, J Du, D Castan, A Cristia, L Bullock, ... Proc. Odyssey 2020 The Speaker and Language Recognition Workshop, 415-422, 2020 | 38* | 2020 |
| Probing phoneme, language and speaker information in unsupervised speech representations M de Seyssel, M Lavechin, Y Adi, E Dupoux, G Wisniewski Interspeech 2022, 2022 | 24 | 2022 |
| Reverse engineering language acquisition with child-centered long-form recordings M Lavechin, M De Seyssel, L Gautheron, E Dupoux, A Cristia Annual Review of Linguistics 8, 389-407, 2022 | 20 | 2022 |
| ZR-2021VG: Zero-resource speech challenge, visually-grounded language modelling track, 2021 edition A Alishahi, G Chrupała, A Cristià, E Dupoux, B Higy, M Lavechin, ... Preprint: https://arxiv. org/abs/2107.06546, 2021 | 13* | 2021 |
| Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation M Lavechin, M Métais, H Titeux, A Boissonnet, J Copet, M Rivière, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-7, 2023 | 12 | 2023 |
| Can statistical learning bootstrap early language acquisition? A modeling investigation M Lavechin, M De Seyssel, H Titeux, H Bredin, G Wisniewski, A Cristia, ... PsyArXiv, 2022 | 11* | 2022 |
| Modeling early phonetic acquisition from child-centered audio data M Lavechin, M de Seyssel, M Métais, F Metze, A Mohamed, H Bredin, ... Cognition 245, 105734, 2024 | 8* | 2024 |
| BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models M Lavechin, Y Sy, H Titeux, MAC Blandón, O Räsänen, H Bredin, ... Interspeech 2023, 2023 | 4 | 2023 |
| Longform recordings: Opportunities and challenges L Gautheron, M Lavechin, R Riad, C Scaff, A Cristia LIFT 2020-2èmes journées scientifiques du Groupement de Recherche …, 2020 | 4 | 2020 |
| ProsAudit, a prosodic benchmark for self-supervised speech models M de Seyssel, M Lavechin, H Titeux, A Thomas, G Virlet, AS Revilla, ... Interspeech 2023, 2023 | 3 | 2023 |
| Realistic and broad-scope learning simulations: first results and challenges M de SEYSSEL, M Lavechin, E Dupoux Journal of Child Language 50 (6), 1294-1317, 2023 | 2 | 2023 |
| Modeling the initial state of early phonetic learning in infants M Poli, T Schatz, E Dupoux, M Lavechin OSF, 2024 | | 2024 |
| Artificial neural networks to analyze and simulate language acquisition in children M Lavechin PsyArXiv. October 22, 2023 | | 2023 |
| Measuring language development from child-centered recordings Y Sy, W Havard, M Lavechin, E Dupoux, A Cristia Interspeech 2023, 4618-4622, 2023 | | 2023 |
| Enregistrements de longue durée: Opportunités et défis L Gautheron, M Lavechin, R Riad, C Scaff, A Cristia Groupement de Recherche Linguistique Informatique Formelle et de Terrain …, 2020 | | 2020 |
Alejandrina (Alex) CristiaLaboratoire de Sciences Cognitives et Psycholinguistique, Dept d'Etudes Cognitives, ENS, PSL在 ens.fr 的电子邮件经过验证
