Seuraa
Marvin Lavechin
Marvin Lavechin
Vahvistettu sähköpostiosoite verkkotunnuksessa ens.fr - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
1912020
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
1002021
An open-source voice type classifier for child-centered daylong recordings
M Lavechin, R Bousbib, H Bredin, E Dupoux, A Cristia
Interspeech 2020, 2020
472020
End-to-end domain-adversarial voice activity detection
M Lavechin, MP Gill, R Bousbib, H Bredin, LP Garcia-Perera
Interspeech 2020, 2019
462019
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
422021
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
37*2020
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
192022
Probing phoneme, language and speaker information in unsupervised speech representations
M de Seyssel, M Lavechin, Y Adi, E Dupoux, G Wisniewski
Interspeech 2022, 2022
182022
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
112023
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
7*2024
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
42020
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
32023
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
32023
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
12023
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
4.3 Group 2.1: Embodied Intention Prediction Challenge
M Frank, N Kunda, M Lavechin, PY Oudeyer, R Saxe, M de Seyssel, ...
Developmental Machine Learning: From Human Learning to Machines and Back, 162, 0
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Artikkelit 1–20