Rayson Laroca

Achieving an impressive 87.5% precision in recognizing ambivalence and hesitancy, this system redefines how we analyze emotional nuances in audio-text data.

Achieving a macro accuracy of 79.7% in vehicle color recognition highlights the potential of synthetic data augmentation to address severe class imbalances in surveillance contexts.