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 | 246 | 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 | 62 | 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 | 31 | 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 | 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 | 8 | 2018 |
laurent besacier,“ S Evain, H Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... Task Agnostic and Task Specific Self-Supervised Learning from Speech with …, 2021 | 7 | 2021 |
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 | 5 | 2021 |
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 |
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 | 3 | 2018 |
Cross-domain Voice Activity Detection with Self-Supervised Representations S Alisamir, F Ringeval, F Portet arXiv preprint arXiv:2209.11061, 2022 | 2 | 2022 |
LeBenchmark, un référentiel d'évaluation pour le français oral H Le, S Alisamir, M Dinarelli, F Ringeval, S Evain, H Nguyen, MZ Boito, ... JEP 2022, 2022 | 1 | 2022 |
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, ... arXiv preprint arXiv:2309.05472, 2023 | | 2023 |
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 |
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 | | 2022 |
THERADIA: Digital Therapies Augmented by Artificial Intelligence H Chainay, O Koenig, F Ringeval, B Bouchot, G Bailly, F Portet, S Alisamir, ... Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the …, 2021 | | 2021 |
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, ... | | |