Sina Alisamir

According to our database, Sina Alisamir authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech.

Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

Comput. Speech Lang., 2024

THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research in Healthcare.

Hippolyte Fournier, Sina Alisamir, Safaa Azzakhnini, Hanna Chainay, Olivier Koenig, Isabella Zsoldos, Eléeonore Trân, Gérard Bailly, Frédéric Elisei, Béatrice Bouchot, Brice Varini, Patrick Constant, Joan Fruitet, Franck Tarpin-Bernard, Solange Rossato, François Portet, Fabien Ringeval

CoRR, 2024

2023

Machine Learning of Emotional Expressions In the Wild from Acoustic Signals and Text. (Apprentissage automatique des expressions émotionnelles à partir de signaux acoustiques et de textes).

Sina Alisamir

PhD thesis, 2023

2022

Cross-domain Voice Activity Detection with Self-Supervised Representations.

Sina Alisamir, Fabien Ringeval, François Portet

CoRR, 2022

Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks.

Sina Alisamir, Fabien Ringeval, François Portet

CoRR, 2022

Multi-Corpus Affect Recognition with Emotion Embeddings and Self-Supervised Representations of Speech.

Sina Alisamir, Fabien Ringeval, François Portet

Proceedings of the 10th International Conference on Affective Computing and Intelligent Interaction, 2022

2021

On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview.

Sina Alisamir, Fabien Ringeval

IEEE Signal Process. Mag., 2021

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.

Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

CoRR, 2021

Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark.

Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

<i>LeBenchmark</i>: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech.

Solène Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia A. Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Estève, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

THERADIA: Digital Therapies Augmented by Artificial Intelligence.

Franck Tarpin-Bernard, Joan Fruitet, Jean-Philippe Vigne, Patrick Constant, Hanna Chainay, Olivier Koenig, Fabien Ringeval, Béatrice Bouchot, Gérard Bailly, François Portet, Sina Alisamir, Yongxin Zhou, Jean Serre, Vincent Delerue, Hippolyte Fournier, Kévin Berenger, Isabella Zsoldos, Olivier Perrotin, Frédéric Elisei, Martin Lenglet, Charles Puaux, Léo Pacheco, Mélodie Fouillen, Didier Ghenassia

Proceedings of the Advances in Neuroergonomics and Cognitive Engineering, 2021

2019

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition.

Fabien Ringeval, Björn W. Schuller, Michel F. Valstar, Nicholas Cummins, Roddy Cowie, Leili Tavabi, Maximilian Schmitt, Sina Alisamir, Shahin Amiriparian, Eva-Maria Meßner, Siyang Song, Shuo Liu, Ziping Zhao, Adria Mallol-Ragolta, Zhao Ren, Mohammad Soleymani, Maja Pantic

Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop, 2019