Hybrid CNN-Transformer reaches 97.8% accuracy and 0.98 macro F1 on the EYASE Egyptian Arabic speech emotion dataset.
Real-time signal processing for multiantenna systems: algorithms, op- timization, and implementation on an experimental test-bed
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Hybrid CNN-Transformer Architecture for Arabic Speech Emotion Recognition
Hybrid CNN-Transformer reaches 97.8% accuracy and 0.98 macro F1 on the EYASE Egyptian Arabic speech emotion dataset.