Web: http://arxiv.org/abs/2209.09768

Sept. 21, 2022, 1:14 a.m. | Yang Wu, Pai Peng, Zhenyu Zhang, Yanyan Zhao, Bing Qin

cs.CL updates on arXiv.org arxiv.org

Recent works on multi-modal emotion recognition move towards end-to-end
models, which can extract the task-specific features supervised by the target
task compared with the two-phase pipeline. However, previous methods only model
the feature interactions between the textual and either acoustic and visual
modalities, ignoring capturing the feature interactions between the acoustic
and visual modalities. In this paper, we propose the multi-modal end-to-end
transformer (ME2ET), which can effectively model the tri-modal features
interaction among the textual, acoustic, and visual modalities at …

arxiv attention emotion transformer

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