FedEmoNet: Privacy-preserving federated learning with TCN-Transformer fusion for cross-corpus speech emotion recognition
Fig 7
Comprehensive explainability analysis.
(a) Emotion-specific feature importance via LIME; (b) Multi-head attention weights; (c) SHAP feature impact distribution; (d) Cross-corpus feature consistency (r = 0.94); (e) Learned emotion embedding space via t-SNE; (f) Temporal attention pattern analysis.