Multimodal Emotion Recognition Framework Using a Decision-Level Fusion and Feature-Level Fusion Approach
Author:
Affiliation:
1. Department of Information Technology, PSG College of Technology, Coimbatore 641004, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2023.2173668
Reference34 articles.
1. H. Xu, H. Zhang, K. Han, Y. Wang, Y. Peng, and X. Li, “Learning alignment for multimodal emotion recognition from speech,” arXiv preprint arXiv: 1909.05645, 2019.
2. A Hybrid Latent Space Data Fusion Method for Multimodal Emotion Recognition
3. A Multimodal Emotion Recognition System Using Facial Landmark Analysis
4. K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction
5. A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition
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