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SISER: Speaker-Invariant Speech Emotion Recognition with Entropy-Based Adversarial Training
Speech emotion recognition (SER) faces two fundamental challenges: scarcity of labeled data and inter-speaker variability, both of which hinder generalization of emotion recognition systems. While prior adversarial approaches address speaker variability, they fall short in leveraging powerful pre-tr
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