Enhancing Emotion Recognition Accuracy with CFRSN-LSTM
Multimodal emotion recognition is a challenging problem partly because the loss of original semantic information during intra- and inter-modal interactions. In this paper we propose to a novel cross-modal fusion network based on self-attention and residual structure (CFNSR-LSTM) for multimodal emoti
Authors
- Yali Zheng (ORCID: https://orcid.org/0000-0002-6215-1694)
- Yidan Zhang (ORCID: https://orcid.org/0009-0002-2299-8011)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.4108/eai.21-11-2024.2354597
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00