| AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ... Proceedings of the 9th International on Audio/visual Emotion Challenge and …, 2019 | 344 | 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 | 89 | 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 | 43 | 2021 |
| On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview S Alisamir, F Ringeval IEEE Signal Processing Magazine 38 (6), 12-21, 2021 | 21 | 2021 |
| LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech T Parcollet, H Nguyen, S Evain, MZ Boito, A Pupier, S Mdhaffar, H Le, ... Computer Speech & Language 86, 101622, 2024 | 17 | 2024 |
| Theradia: Digital therapies augmented by artificial intelligence F Tarpin-Bernard, J Fruitet, JP Vigne, P Constant, H Chainay, O Koenig, ... Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the …, 2021 | 10 | 2021 |
| An end-to-end deep learning model to recognize Farsi speech from raw input S Alisamir, SM Ahadi, S Seyedin 2018 4th Iranian Conference on Signal Processing and Intelligent Systems …, 2018 | 10 | 2018 |
| laurent besacier,“Task agnostic and task specific self-supervised learning from speech with lebenchmark,” S Evain, H Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 7 | 2021 |
| Analysis of deep stress field using well log and wellbore breakout data: a case study in Cretaceous oil reservoir, southwest Iran M Abdideh, S Alisamir Geodesy and Cartography 44 (4), 113-128, 2018 | 5 | 2018 |
| Cross-domain voice activity detection with self-supervised representations S Alisamir, F Ringeval, F Portet arXiv preprint arXiv:2209.11061, 2022 | 4 | 2022 |
| Multi-corpus affect recognition with emotion embeddings and self-supervised representations of speech S Alisamir, F Ringeval, F Portet 2022 10th International Conference on Affective Computing and Intelligent …, 2022 | 3 | 2022 |
| Modèles neuronaux pré-appris par auto-supervision sur des enregistrements de parole en français S Evain, H Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... JEP 2022, 2022 | 3 | 2022 |
| THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research in Healthcare H Fournier, S Alisamir, S Azzakhnini, H Chainay, O Koenig, I Zsoldos, ... arXiv preprint arXiv:2405.06728, 2024 | 2 | 2024 |
| LeBenchmark, un référentiel d'évaluation pour le français oral H Le, S Alisamir, M Dinarelli, F Ringeval, S Evain, H Nguyen, MZ Boito, ... 34e Journées d'étude sur la parole JEP 2022, 2022 | 2 | 2022 |
| Method, device and computer program for emotion recognition from a real-time audio signal S Alisamir, F Ringeval US Patent App. 18/082,131, 2023 | | 2023 |
| Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks S Alisamir, F Ringeval, F Portet arXiv preprint arXiv:2209.10223, 2022 | | 2022 |
| Audio/Visual Emotion Challenge 2019: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ... | | 2019 |
| Modèles neuronaux pré-appris par auto-supervision sur des enregistrements de parole en français SEH Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... | | |
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FranceVerified email at imag.fr
