Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals

Résumé

In this paper, we address the problem of multimodal emotion recognition from multiple physiological signals. We demonstrate that a Transformer-based approach is suitable for this task. In addition, we present how such models may be pretrained in a multimodal scenario to improve emotion recognition performances. We evaluate the benefits of using multimodal inputs and pre-training with our approach on a state-ofthe-art dataset.
Fichier principal
Vignette du fichier
MultEmoRecon.pdf (294.38 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03897400 , version 1 (21-12-2022)

Identifiants

Citer

Juan Vazquez-Rodriguez, Grégoire Lefebvre, Julien Cumin, James L Crowley. Emotion Recognition with Pre-Trained Transformers Using Multimodal Signals. ACII 2022 - 10th International Conference on Affective Computing and Intelligent Interaction, Oct 2022, Nara, Japan. ⟨hal-03897400⟩
29 Consultations
110 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More