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ST-Omni-R1 not only excels in sound-event recognition but also sets a new standard for spatial audio reasoning, achieving nearly double the accuracy of existing models.
Flow-DPPO outperforms traditional PPO methods by achieving higher rewards and greater training stability through a novel divergence proximal constraint.
By explicitly modeling emotion co-occurrence patterns, MPCL achieves state-of-the-art performance in mixed emotion recognition, outperforming existing methods that neglect the structured correlations among coexisting emotions.
