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Antoine Caubrière
Antoine Caubrière
Postdoctoral Researcher - University of Avignon
Verified email at univ-avignon.fr
Title
Cited by
Cited by
Year
End-to-end named entity and semantic concept extraction from speech
S Ghannay, A Caubrière, Y Estève, N Camelin, E Simonnet, A Laurent, ...
2018 IEEE Spoken Language Technology Workshop (SLT), 692-699, 2018
622018
Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability
A Caubrière, N Tomashenko, A Laurent, E Morin, N Camelin, Y Estève
arXiv preprint arXiv:1906.07601, 2019
442019
Investigating adaptation and transfer learning for end-to-end spoken language understanding from speech
N Tomashenko, A Caubrière, Y Estève
Interspeech 2019, 824-828, 2019
252019
Recent advances in end-to-end spoken language understanding
N Tomashenko, A Caubrière, Y Estève, A Laurent, E Morin
International Conference on Statistical Language and Speech Processing, 44-55, 2019
172019
End-to-end named entity extraction from speech
S Ghannay, A Caubriere, Y Esteve, A Laurent, E Morin
arXiv preprint arXiv:1805.12045, 2018
142018
Where are we in named entity recognition from speech?
A Caubrière, S Rosset, Y Estève, A Laurent, E Morin
Proceedings of the 12th Language Resources and Evaluation Conference, 4514-4520, 2020
132020
End2end acoustic to semantic transduction
V Pelloin, N Camelin, A Laurent, R De Mori, A Caubrière, Y Estève, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
82021
On-trac consortium for end-to-end and simultaneous speech translation challenge tasks at iwslt 2020
M Elbayad, H Nguyen, F Bougares, N Tomashenko, A Caubrière, ...
arXiv preprint arXiv:2005.11861, 2020
82020
Dialogue history integration into end-to-end signal-to-concept spoken language understanding systems
N Tomashenko, C Raymond, A Caubrière, R De Mori, Y Estève
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
82020
ON-TRAC consortium end-to-end speech translation systems for the IWSLT 2019 shared task
H Nguyen, N Tomashenko, MZ Boito, A Caubrière, F Bougares, ...
arXiv preprint arXiv:1910.13689, 2019
82019
Error Analysis Applied to End-to-End Spoken Language Understanding
A Caubrière, S Ghannay, N Tomashenko, R De Mori, A Laurent, E Morin, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
42020
Where are we in semantic concept extraction for Spoken Language Understanding?
S Ghannay, A Caubrière, S Mdhaffar, G Laperrière, B Jabaian, Y Estève
International Conference on Speech and Computer, 202-213, 2021
22021
Confidence measure for speech-to-concept end-to-end spoken language understanding
A Caubrière, Y Estève, A Laurent, E Morin
Interspeech 2020, 2020
12020
Où en sommes-nous dans la reconnaissance des entités nommées structurées à partir de la parole?
A Caubrière, S Rosset, Y Estève, A Laurent, E Morin
6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition …, 2020
12020
Curriculum d'apprentissage: reconnaissance d'entités nommées pour l'extraction de concepts sémantiques
A Caubrière, N Tomashenko, Y Estève, A Laurent, E Morin
26e conférence sur le Traitement Automatique des Langues Naturelles (TALN), 2019
12019
Du signal au concept: réseaux de neurones profonds appliqués à la compréhension de la parole
A Caubriere
Le Mans Université, 2021
2021
The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools
G Laperriere, V Pelloin, A Caubriere, S Mdhaffar, N Camelin, S Ghannay, ...
Impact Analysis of the Use of Speech and Language Models Pretrained by Self-Supersivion for Spoken Language Understanding
S Mdhaffar, V Pelloin, A Caubriere, G Laperriere, S Ghannay, B Jabaian, ...
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