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Antoine Caubrière
Antoine Caubrière
Researcher - Orange Innovation
Verified email at orange.com
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
962018
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
642019
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
312019
Recent advances in end-to-end spoken language understanding
N Tomashenko, A Caubrière, Y Estève, A Laurent, E Morin
Statistical Language and Speech Processing: 7th International Conference …, 2019
272019
Where are we in named entity recognition from speech?
A Caubrière, S Rosset, Y Estève, A Laurent, E Morin
Proceedings of the Twelfth Language Resources and Evaluation Conference …, 2020
262020
End-to-end named entity extraction from speech
S Ghannay, A Caubriere, Y Esteve, A Laurent, E Morin
arXiv preprint arXiv:1805.12045, 2018
212018
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
172021
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
162020
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
102020
ON-TRAC consortium end-to-end speech translation systems for the IWSLT 2019 shared task
H Nguyen, N Tomashenko, MZ Boito, A Caubriere, F Bougares, ...
arXiv preprint arXiv:1910.13689, 2019
102019
Where are we in semantic concept extraction for Spoken Language Understanding?
S Ghannay, A Caubrière, S Mdhaffar, G Laperrière, B Jabaian, Y Estève
Speech and Computer: 23rd International Conference, SPECOM 2021, St …, 2021
92021
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
82020
Impact Analysis of the Use of Speech and Language Models Pretrained by Self-Supersivion for Spoken Language Understanding
S Mdhaffar, V Pelloin, A Caubrière, G Laperrière, S Ghannay, B Jabaian, ...
LREC 2022, 2022
22022
Confidence measure for speech-to-concept end-to-end spoken language understanding
A Caubrière, Y Estève, A Laurent, E Morin
Interspeech 2020, 2020
22020
The Spoken Language Understanding MEDIA Benchmark Dataset in the Era of Deep Learning: data updates, training and evaluation tools
G Laperrière, V Pelloin, A Caubrière, S Mdhaffar, N Camelin, S Ghannay, ...
Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022
12022
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
Le benchmark MEDIA revisité: données, outils et évaluation dans un contexte d'apprentissage profond
G Laperrière, V Pelloin, A Caubrière, S Mdhaffar, N Camelin, S Ghannay, ...
JEP 2022, 2022
2022
Du signal au concept: réseaux de neurones profonds appliqués à la compréhension de la parole
A Caubriere
Le Mans, 2021
2021
Le benchmark MEDIA revisité: données, outils et évaluation dans un contexte d’apprentissage profond
GLV Pelloin, ACS Mdhaffar, N Camelin, S Ghannay, B Jabaian, Y Estève
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