Nov 16, 2023 · Abstract:Decades of research indicate that emotion recognition is more effective when drawing information from multiple modalities.
We propose a novel Transformer-based architecture for recognizing valence and arousal in a time-continuous manner even with missing input modalities.
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Nov 15, 2023 · ABSTRACT. Decades of research indicate that emotion recognition is more effective when drawing information from multiple modalities.
This work presents a multimodal automatic emotion recognition (AER) framework capable of differentiating between expressed emotions with high accuracy. The ...
May 4, 2024 · To address this problem, we propose a novel Transformer-based architecture for recognizing valence and arousal in a time-continuous manner even ...
Nov 20, 2023 · Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition. (arXiv:2311.10119v1 [cs.LG]) https://t.co/DzMwBz4m3i.
Lefebvre, J. Cumin, and J. L. Crowley, “Accommodating Missing Modalities in Time-Continuous Multimodal Emotion Recognition,” in Affective Computing and ...
Multimodal emotion recognition is the process of recognizing emotions from multiple modalities, such as speech, text, and facial expressions.
The main task of Multimodal Emotion Recognition in Conversations (MERC) is to identify the emotions in modalities, e. g., text, audio, image and video, which is ...
Decades of research indicate that emotion recognition is more effective when drawing information from multiple modalities. But what if some modalities are ...