| Sentiment analysis of tunisian dialects: Linguistic ressources and experiments S Mdhaffar, F Bougares, Y Esteve, L Hadrich-Belguith Third Arabic Natural Language Processing Workshop (WANLP), 55-61, 2017 | 95 | 2017 |
| Lebenchmark: A reproducible framework for assessing self-supervised representation learning from speech S Evain, H Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... Interspeech 2021, 2021 | 35 | 2021 |
| Task agnostic and task specific self-supervised learning from speech with LeBenchmark S Evain, MH Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... NeurIPS 2021, 2021 | 15 | 2021 |
| Automatic diacritics restoration for Tunisian dialect A Masmoudi, S Mdhaffar, R Sellami, LH Belguith ACM Transactions on Asian and Low-Resource Language Information Processing …, 2019 | 13 | 2019 |
| Privacy attacks for automatic speech recognition acoustic models in a federated learning framework N Tomashenko, S Mdhaffar, M Tommasi, Y Estève, JF Bonastre ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
| Retrieving speaker information from personalized acoustic models for speech recognition S Mdhaffar, JF Bonastre, M Tommasi, N Tomashenko, Y Estève ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| 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 | 6 | 2021 |
| Qualitative Evaluation of ASR Adaptation in a Lecture Context: Application to the PASTEL Corpus. S Mdhaffar, Y Estève, N Hernandez, A Laurent, R Dufour, S Quiniou INTERSPEECH, 569-573, 2019 | 6 | 2019 |
| Study on acoustic model personalization in a context of collaborative learning constrained by privacy preservation S Mdhaffar, M Tommasi, Y Estève International Conference on Speech and Computer, 426-436, 2021 | 4 | 2021 |
| ON-TRAC'systems for the IWSLT 2021 low-resource speech translation and multilingual speech translation shared tasks H Le, F Barbier, H Nguyen, N Tomashenko, S Mdhaffar, S Gahbiche, ... International Conference on Spoken Language Translation (IWSLT), 2021 | 3 | 2021 |
| Le corpus PASTEL pour le traitement automatique de cours magistraux S Mdhaffar, A Laurent, Y Estève 25e conférence sur le Traitement Automatique des Langues Naturelles (TALN 2018), 2018 | 3 | 2018 |
| Instrumentation of learning situation using automated speech transcription: A prototyping approach V Bettenfeld, S Mdhaffar, C Piau-Toffolon, C Choquet 11th Int. Conf on Computer Supported Education (CSEDU 2019) 2, 359-366, 2019 | 2 | 2019 |
| Instrumentation of classrooms using synchronous speech transcription V Bettenfeld, S Mdhaffar, C Choquet, C Piau-Toffolon European Conference on Technology Enhanced Learning, 648-651, 2018 | 2 | 2018 |
| Etude de performance des réseaux neuronaux récurrents dans le cadre de la campagne d’évaluation Multi-Genre Broadcast challenge 3 (MGB3) S Mdhaffar, Y Estève, A Laurent JEP 1018, 2018 | 2* | 2018 |
| A Multimodal Educational Corpus of Oral Courses: Annotation, Analysis and Case Study S Mdhaffar, Y Estève, A Laurent, N Hernandez, R Dufour, D Charlet, ... Proceedings of The 12th Language Resources and Evaluation Conference (LREC …, 2020 | 1 | 2020 |
| Apport de l'adaptation automatique des modèles de langage pour la reconnaissance de la parole: évaluation qualitative extrinsèque dans un contexte de traitement de cours magistraux S Mdhaffar, Y Estève, N Hernandez, A Laurent, S Quiniou 26e Conférence sur le Traitement Automatique des Langues Naturelles, 167-174, 2019 | 1 | 2019 |
| End-to-end model for named entity recognition from speech without paired training data S Mdhaffar, J Duret, T Parcollet, Y Estève INTERSPEECH 2022, 2022 | | 2022 |
| 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, ... LREC 2022, 2022 | | 2022 |
| 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, ... LREC 2022, 2022 | | 2022 |
| Extraction d’informations liées au locuteur depuis un modèle acoustique personnalisé S Mdhaffar, JF Bonastre, M Tommasi, N Tomashenko, Y Estève JEP 2022, 2022 | | 2022 |
Yannick EstèveProfessor in Computer Science, University of Avignon, FranceVerified email at univ-avignon.fr
