| 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 | 199 | 2018 |
| Introducing the VoicePrivacy initiative N Tomashenko, BML Srivastava, X Wang, E Vincent, A Nautsch, ... arXiv preprint arXiv:2005.01387, 2020 | 88 | 2020 |
| Speaker anonymisation using the McAdams coefficient J Patino, N Tomashenko, M Todisco, A Nautsch, N Evans arXiv preprint arXiv:2011.01130, 2020 | 57 | 2020 |
| The VoicePrivacy 2020 Challenge Evaluation Plan N Tomashenko, BML Srivastava, X Wang, E Vincent, A Nautsch, ... | 50 | 2020 |
| Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability A Caubrière, N Tomashenko, A Laurent, E Morin, N Camelin, Y Esteve arXiv preprint arXiv:1906.07601, 2019 | 48 | 2019 |
| The voiceprivacy 2020 challenge: Results and findings N Tomashenko, X Wang, E Vincent, J Patino, BML Srivastava, PG Noé, ... Computer Speech & Language 74, 101362, 2022 | 44 | 2022 |
| Design choices for x-vector based speaker anonymization BML Srivastava, N Tomashenko, X Wang, E Vincent, J Yamagishi, ... arXiv preprint arXiv:2005.08601, 2020 | 43 | 2020 |
| Speaker adaptation of context dependent deep neural networks based on MAP-adaptation and GMM-derived feature processing N Tomashenko, Y Khokhlov Fifteenth Annual Conference of the International Speech Communication …, 2014 | 43 | 2014 |
| 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 | 37 | 2021 |
| Investigating Self-supervised Pre-training for End-to-end Speech Translation H Nguyen, F Bougares, N Tomashenko, Y Estève | 30 | 2020 |
| Investigating adaptation and transfer learning for end-to-end spoken language understanding from speech N Tomashenko, A Caubrière, Y Estève Interspeech 2019, 824-828, 2019 | 29 | 2019 |
| An Investigation of Mixup Training Strategies for Acoustic Models in ASR. I Medennikov, YY Khokhlov, A Romanenko, D Popov, NA Tomashenko, ... Interspeech, 2903-2907, 2018 | 24 | 2018 |
| LIUM ASR systems for the 2016 Multi-Genre Broadcast Arabic challenge N Tomashenko, K Vythelingum, A Rousseau, Y Esteve 2016 IEEE Spoken Language Technology Workshop (SLT), 285-291, 2016 | 23 | 2016 |
| Speech pseudonymisation assessment using voice similarity matrices PG Noé, JF Bonastre, D Matrouf, N Tomashenko, A Nautsch, N Evans arXiv preprint arXiv:2008.13144, 2020 | 22 | 2020 |
| The privacy ZEBRA: Zero evidence biometric recognition assessment A Nautsch, J Patino, N Tomashenko, J Yamagishi, PG Noé, JF Bonastre, ... arXiv preprint arXiv:2005.09413, 2020 | 22 | 2020 |
| Automated closed captioning for Russian live broadcasting K Levin, I Ponomareva, A Bulusheva, G Chernykh, I Medennikov, ... Fifteenth Annual Conference of the International Speech Communication …, 2014 | 21 | 2014 |
| Recent advances in end-to-end spoken language understanding N Tomashenko, A Caubrière, Y Estève, A Laurent, E Morin Statistical Language and Speech Processing: 7th International Conference …, 2019 | 20 | 2019 |
| The STC Keyword Search System for OpenKWS 2016 Evaluation. YY Khokhlov, I Medennikov, A Romanenko, V Mendelev, M Korenevsky, ... INTERSPEECH, 3602-3606, 2017 | 20 | 2017 |
| GMM-derived features for effective unsupervised adaptation of deep neural network acoustic models N Tomashenko, Y Khokhlov Sixteenth Annual Conference of the International Speech Communication …, 2015 | 19 | 2015 |
| 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 | 18 | 2021 |
Yannick EstèveProfessor in Computer Science, University of Avignon, FranceVerified email at univ-avignon.fr
