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cs.CL2018
Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment
Yue Gu, Kangning Yang, Shiyu Fu +3
Multimodal affective computing, learning to recognize and interpret human affects and subjective information from multiple data sources, is still challenging because: (i) it is har…
cs.CL2018
Deep Multimodal Learning for Emotion Recognition in Spoken Language
Yue Gu, Shuhong Chen, Ivan Marsic
In this paper, we present a novel deep multimodal framework to predict human emotions based on sentence-level spoken language. Our architecture has two distinctive characteristics.…