Video-Based Cross-Modal Auxiliary Network for Multimodal Sentiment Analysis
Author:
Affiliation:
1. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China
2. School of Computing and Mathematical Sciences, University of Leicester, Leicester, U.K.
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/9973795/09852463.pdf?arnumber=9852463
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1. The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English
2. Emotion classification from speech signal based on empirical mode decomposition and non-linear features;thanaraj;Complex Intell Syst,2021
3. Driver Drowsiness Recognition via 3D Conditional GAN and Two-Level Attention Bi-LSTM
4. VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis
5. A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition
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