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ashna-agarwal / Hierarchical-Cross-Modal-Attention-Network-for-Physiological-Acoustic-Multimodal-Emotion-Recognition

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Developed a Hierarchical Cross-Modal Attention Network (HCAN) for multimodal emotion recognition using EEG and speech signals. Designed graph-based EEG modeling, transformer-based audio representation learning, and bidirectional cross-modal attention fusion.

python machine-learning deep-learning transformers cnn artificial-intelligence neural-networks eeg-signals affective-computing emotion-recognition bilstm graph-neural-networks multimodal-analysis hcnn
  • Updated Jun 14, 2026
  • Jupyter Notebook

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