Explainable Dual-Path AI Reaches 98.6% Accuracy in Reading Emotions from Speech
Researchers report an explainable dual-path attention convolution network that classifies emotions in speech with 98.6% accuracy on the RAVDESS benchmark ...
Researchers report an explainable dual-path attention convolution network that classifies emotions in speech with 98.6% accuracy on the RAVDESS benchmark ...
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© 2025 Scienmag - Science Magazine