Lightweight speech emotion recognition: integrating acoustic-aware augmentation and confusion matrix-guided adaptive training
An acoustic-aware augmentation strategy grounded in arousal-valence theory to expand minority-class samples while preserving semantic validity and a Confusion Matrix-guided Adaptive Training (CMAT) mechanism, which dynamically adjusts sampling probabilities and loss weights based on periodic confusion matrix feedback.