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Multimodal and Multi view Models for Emotion Recognition

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Figure 1: The multimodal model. The shadowed boxincloses the acoustic word mechanism, whose outputis fed into the GMU unit along with the lexical wordrepresentation at each timestep
Figure 2: The multi-view models. The view on the left is the acoustic model, and the view on the right is themultimodal model
Table 1:Data distribution of the USC-IEMOCAPdataset. F and M mean female and male speakers fol-lowed by their session number.
Figure 3: Multimodal Attention. The figure shows the attention mechanisms at the modality and utterance levels.The bars over the words are the average oflexical (right bar in red) information was used
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