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 Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig …, 2018 | 359 | 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 | 215 | 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 | 108 | 2018 |
Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools N Bannour, S Ghannay, A Névéol, AL Ligozat Proceedings of the second workshop on simple and efficient natural language …, 2021 | 86 | 2021 |
ASR error management for improving spoken language understanding E Simonnet, S Ghannay, N Camelin, Y Esteve, R De Mori arXiv preprint arXiv:1705.09515, 2017 | 42 | 2017 |
Simulating ASR errors for training SLU systems E Simonnet, S Ghannay, N Camelin, Y Estève LREC 2018, 2018 | 40 | 2018 |
Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation JM Coria, H Bredin, S Ghannay, S Rosset 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 38 | 2021 |
End-to-end named entity extraction from speech S Ghannay, A Caubriere, Y Esteve, A Laurent, E Morin arXiv preprint arXiv:1805.12045, 2018 | 26 | 2018 |
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 | 24 | 2015 |
Combining continuous word representation and prosodic features for asr error prediction S Ghannay, Y Esteve, N Camelin, C Dutrey, F Santiago, M Adda-Decker Statistical Language and Speech Processing: Third International Conference …, 2015 | 24 | 2015 |
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 | 19 | 2020 |
Acoustic Word Embeddings for ASR Error Detection. S Ghannay, Y Esteve, N Camelin, P Deléglise INTERSPEECH, 1330-1334, 2016 | 19 | 2016 |
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 | 18 | 2021 |
Evaluation of acoustic word embeddings S Ghannay, Y Esteve, N Camelin, P Deleglise 1st Workshop on Evaluating Vector-Space Representations for NLP : RepEval …, 2016 | 16 | 2016 |
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: 10th …, 2021 | 12 | 2021 |
Neural networks approaches focused on French spoken language understanding: application to the MEDIA evaluation task S Ghannay, C Servan, S Rosset In Proceedings of The 28th International Conference on Computational …, 2020 | 11 | 2020 |
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 | 11 | 2020 |
Étude sur les représentations continues de mots appliquées à la détection automatique des erreurs de reconnaissance de la parole S Ghannay Université du Maine, 2017 | 11 | 2017 |
A metric learning approach to misogyny categorization JM Coria, S Ghannay, S Rosset, H Bredin Proceedings of the 5th Workshop on Representation Learning for NLP, 89-94, 2020 | 10 | 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 | 8 | 2020 |