| The pytorch-kaldi speech recognition toolkit M Ravanelli, T Parcollet, Y Bengio ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 184 | 2019 |
| SpeechBrain: A general-purpose speech toolkit M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 116* | 2021 |
| Flower: A friendly federated learning research framework DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, PPB de Gusmão, ... arXiv preprint arXiv:2007.14390, 2020 | 90 | 2020 |
| Quaternion recurrent neural networks T Parcollet, M Ravanelli, M Morchid, G Linarès, C Trabelsi, R De Mori, ... ICLR 2019, 2018 | 88 | 2018 |
| 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 | 75 | 2018 |
| A survey of quaternion neural networks T Parcollet, M Morchid, G Linarès Artificial Intelligence Review 53 (4), 2957-2982, 2020 | 65 | 2020 |
| 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 | 52 | 2019 |
| 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 | 34 | 2016 |
| Deep Quaternion Neural Networks for spoken language understanding T Parcollet, M Morchid, G Linares | 23* | |
| 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 | 20 | 2021 |
| Quaternion denoising encoder-decoder for theme identification of telephone conversations T Parcollet, M Morchid, G Linares Interspeech 2017, 2017 | 17 | 2017 |
| 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 | 15 | 2020 |
| A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, DJ Beutel, ... arXiv preprint arXiv:2102.07627, 2021 | 13 | 2021 |
| 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 | 13 | 2020 |
| Bidirectional quaternion long short-term memory recurrent neural networks for speech recognition T Parcollet, M Morchid, G Linarès, R De Mori ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 13 | 2019 |
| 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, ... | 9 | 2021 |
| The energy and carbon footprint of training end-to-end speech recognizers T Parcollet, M Ravanelli | 9 | 2021 |
| Speech recognition with quaternion neural networks T Parcollet, M Ravanelli, M Morchid, G Linarès, R De Mori NeurIPS 2018 - IRASL, 2018 | 9 | 2018 |
| Quaternion neural networks for multi-channel distant speech recognition X Qiu, T Parcollet, M Ravanelli, N Lane, M Morchid arXiv preprint arXiv:2005.08566, 2020 | 8 | 2020 |
| 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 | 7 | 2022 |
georges linaresprofesseur d'informatique, Université d'Avignon et des Pays de VaucluseVerified email at univ-avignon.fr
