Research on cross-modal emotion recognition based on multi-layer semantic fusion

Research on cross-modal emotion recognition based on multi-layer semantic fusion

Multimodal emotion analysis involves the integration of information from various modalities to better understand human emotions. In this paper, we propose the Cross-modal Emotion Recognition based on multi-layer semantic fusion (CM-MSF) model, which aims to leverage the complementarity of important...

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Bibliographic Details
Main Authors: Zhijing Xu, Yang Gao
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
multimodal emotion recognition
multimodal fusion
cascade encoder
inter-modal information complementation
mask-gated fusion networks (mgf-module)
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024110?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024110?viewType=HTML

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