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Juliette Millet
Juliette Millet
Unknown affiliation
Verified email at cri-paris.org
Title
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Year
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
322022
Learning to detect dysarthria from raw speech
J Millet, N Zeghidour
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
292019
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech
J Millet, JR King
arXiv preprint arXiv:2103.01032, 2021
202021
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
102020
Do self-supervised speech models develop human-like perception biases?
J Millet, E Dunbar
arXiv preprint arXiv:2205.15819, 2022
82022
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, ...
82022
Comparing unsupervised speech learning directly to human performance in speech perception
J Millet, N Jurov, E Dunbar
CogSci 2019-41st Annual Meeting of Cognitive Science Society, 2019
82019
Toward a realistic model of speech processing in the brain with selfsupervised learning (arXiv: 2206.01685; Issue arXiv: 2206.01685). arXiv
J Millet, C Caucheteux, P Orhan, Y Boubenec, A Gramfort, E Dunbar, ...
62022
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
52022
The perceptimatic english benchmark for speech perception models
J Millet, E Dunbar
arXiv preprint arXiv:2005.03418, 2020
52020
Perceptimatic: A human speech perception benchmark for unsupervised subword modelling
J Millet, E Dunbar
arXiv preprint arXiv:2010.05961, 2020
32020
Independent and automatic evaluation of acoustic-to-articulatory inversion models
M Parrot, J Millet, E Dunbar
arXiv preprint arXiv:1911.06573, 2019
32019
Animal linguistics and the puzzle of titi monkeys alarm sequences
M Berthet, J Benjumea, J Millet, C Cäsar, K Zuberbühler, E Dunbar
Proceedings of the 22nd Amsterdam Colloquium, Amsterdam, Netherlands, 533-542, 2019
22019
CAN EMOTIONAL COMMUNICATION BE SEMANTICALLY RICH? THE CASE OF TITI MONKEYS
M BERTHET, J BENJUMEA, J MILLET, C CÄSAR, K ZUBERBÜHLER, ...
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Articles 1–14