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Sina Alisamir
Sina Alisamir
LIG, Université Grenoble Alpes
Verified email at univ-grenoble-alpes.fr
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Cited by
Cited by
Year
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
2752019
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
682021
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
372021
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
142021
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
92018
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
72021
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
72021
Cross-domain voice activity detection with self-supervised representations
S Alisamir, F Ringeval, F Portet
arXiv preprint arXiv:2209.11061, 2022
42022
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
42018
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
32022
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
12022
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
12022
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, 101622, 2024
2024
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, ...
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