| SpeechBrain: A general-purpose speech toolkit M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 353* | 2021 |
| Flower: A friendly federated learning research framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... arXiv preprint arXiv:2007.14390, 2020 | 277 | 2020 |
| The pytorch-kaldi speech recognition toolkit M Ravanelli, T Parcollet, Y Bengio ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 227 | 2019 |
| Quaternion recurrent neural networks T Parcollet, M Ravanelli, M Morchid, G Linarès, C Trabelsi, R De Mori, ... ICLR 2019, 2018 | 124 | 2018 |
| A survey of quaternion neural networks T Parcollet, M Morchid, G Linarès Artificial Intelligence Review 53, 2957-2982, 2020 | 108 | 2020 |
| Quaternion convolutional neural networks for end-to-end automatic speech recognition T Parcollet, Y Zhang, M Morchid, C Trabelsi, G Linarès, R De Mori, ... INTERSPEECH 2018, 2018 | 92 | 2018 |
| Quaternion convolutional neural networks for heterogeneous image processing T Parcollet, M Morchid, G Linarès ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 76 | 2019 |
| 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, ... arXiv preprint arXiv:2104.11462, 2021 | 45 | 2021 |
| Quaternion neural networks for spoken language understanding T Parcollet, M Morchid, PM Bousquet, R Dufour, G Linarès, R De Mori 2016 IEEE Spoken Language Technology Workshop (SLT), 362-368, 2016 | 40 | 2016 |
| A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, Y Gao, ... arXiv preprint arXiv:2102.07627, 2021 | 34 | 2021 |
| Deep Quaternion Neural Networks for spoken language understanding T Parcollet, M Morchid, G Linares | 26* | |
| E2E-SINCNET: Toward fully end-to-end speech recognition T Parcollet, M Morchid, G Linares ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 25 | 2020 |
| The energy and carbon footprint of training end-to-end speech recognizers T Parcollet, M Ravanelli | 24 | 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, ... Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021 | 22 | 2021 |
| ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity X Qiu, J Fernandez-Marques, PPB Gusmao, Y Gao, T Parcollet, ND Lane International Conference on Learning Representations, 2022 | 21* | 2022 |
| End-to-end speech recognition from federated acoustic models Y Gao, T Parcollet, S Zaiem, J Fernandez-Marques, PPB de Gusmao, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 20 | 2022 |
| On-device federated learning with flower A Mathur, DJ Beutel, PPB de Gusmão, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 2021 | 20 | 2021 |
| Can federated learning save the planet? X Qiu, T Parcollet, DJ Beutel, T Topal, A Mathur, ND Lane arXiv preprint arXiv:2010.06537, 2020 | 19 | 2020 |
| Cgcnn: Complex gabor convolutional neural network on raw speech PG Noé, T Parcollet, M Morchid ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 19 | 2020 |
| Quaternion denoising encoder-decoder for theme identification of telephone conversations T Parcollet, M Morchid, G Linares Interspeech 2017, 2017 | 18 | 2017 |
georges linaresprofesseur d'informatique, Université d'Avignon et des Pays de VaucluseVerified email at univ-avignon.fr
