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Université des Sciences et de la Technologie d'Oran Mohamed Boudiaf (USTO-MB)
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Achieving 98.1% accuracy in Arabic speech emotion recognition reveals the power of CNN-Transformer architectures in overcoming dialectal diversity and data scarcity.