| TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation F Hernandez, V Nguyen, S Ghannay, N Tomashenko, Y Esteve International conference on speech and computer, 198-208, 2018 | 146 | 2018 |
| Word embedding evaluation and combination S Ghannay, B Favre, Y Esteve, N Camelin Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 133 | 2016 |
| 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 | 62 | 2018 |
| ASR error management for improving spoken language understanding E Simonnet, S Ghannay, N Camelin, Y Estève, R De Mori arXiv preprint arXiv:1705.09515, 2017 | 32 | 2017 |
| Simulating ASR errors for training SLU systems E Simonnet, S Ghannay, N Camelin, Y Estève Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 27 | 2018 |
| Combining continuous word representation and prosodic features for asr error prediction S Ghannay, Y Esteve, N Camelin, C Dutrey, F Santiago, M Adda-Decker International Conference on Statistical Language and Speech Processing, 84-95, 2015 | 23 | 2015 |
| Word embeddings combination and neural networks for robustness in ASR error detection S Ghannay, Y Estève, N Camelin 2015 European Signal Processing Conference (EUSIPCO 2015), Nice(France), 2015 | 21 | 2015 |
| Acoustic Word Embeddings for ASR Error Detection. S Ghannay, Y Esteve, N Camelin, P Deléglise INTERSPEECH, 1330-1334, 2016 | 17 | 2016 |
| End-to-end named entity extraction from speech S Ghannay, A Caubriere, Y Esteve, A Laurent, E Morin arXiv preprint arXiv:1805.12045, 2018 | 14 | 2018 |
| Evaluation of acoustic word embeddings S Ghannay, Y Esteve, N Camelin, P Deleglise 1st Workshop on Evaluating Vector-Space Representations for NLP : RepEval …, 2016 | 13 | 2016 |
| Étude sur les représentations continues de mots appliquées à la détection automatique des erreurs de reconnaissance de la parole S Ghannay Le Mans, 2017 | 7 | 2017 |
| What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings? S Ghannay, A Neuraz, S Rosset ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 6 | 2020 |
| Lifelong learning and task-oriented dialogue system: what does it mean? M Veron, S Ghannay, AL Ligozat, S Rosset Increasing Naturalness and Flexibility in Spoken Dialogue Interaction, 347-356, 2021 | 5 | 2021 |
| A comparison of metric learning loss functions for end-to-end speaker verification JM Coria, H Bredin, S Ghannay, S Rosset International Conference on Statistical Language and Speech Processing, 137-148, 2020 | 5 | 2020 |
| LIMSI_UPV at SemEval-2020 Task 9: Recurrent convolutional neural network for code-mixed sentiment analysis S Banerjee, S Ghannay, S Rosset, A Vilnat, P Rosso arXiv preprint arXiv:2008.13173, 2020 | 5 | 2020 |
| Which ASR errors are hard to detect? S Ghannay, N Camelin, Y Esteve Errors produced and processed by humans and machines in multimedia …, 2015 | 5 | 2015 |
| Using Hypothesis Selection Based Features for Confusion Network MT System Combination S Ghannay, L Barrault Proceedings of the 3rd Workshop on Hybrid Approaches to Translation (HyTra …, 2014 | 4 | 2014 |
| Neural networks approaches focused on French spoken language understanding: application to the MEDIA evaluation task S Ghannay, C Servan, S Rosset Proceedings of the 28th International Conference on Computational …, 2020 | 3 | 2020 |
| A Metric Learning Approach to Misogyny Categorization JM Coria, S Ghannay, S Rosset, H Bredin Workshop on Representation Learning for NLP, 89-94, 2020 | 3 | 2020 |
| A study of continuous space word and sentence representations applied to ASR error detection S Ghannay, Y Estève, N Camelin Speech Communication 120, 31-41, 2020 | 3 | 2020 |
Yannick EstèveProfessor in Computer Science, University of Avignon, FranceVerified email at univ-avignon.fr
