Can We Exploit All Datasets? Multimodal Emotion Recognition Using Cross-Modal Translation

Can We Exploit All Datasets? Multimodal Emotion Recognition Using Cross-Modal Translation

The use of sufficiently large datasets is important for most deep learning tasks, and emotion recognition tasks are no exception. Multimodal emotion recognition is the task of considering multiple types of modalities simultaneously to improve accuracy and robustness, typically utilizing three modali...

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Bibliographic Details
Main Author: Yeo Chan Yoon
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Deep learning
emotion recognition
generative adversarial networks
machine learning
multimodal emotion recognition
Online Access:https://ieeexplore.ieee.org/document/9797716/

Internet

https://ieeexplore.ieee.org/document/9797716/

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