Compact audio-visual AI reads sentiment from live video with 84.89% accuracy
A lightweight CNN-LSTM framework classifies negative, neutral, and positive sentiment from live video at 84.89 percent accuracy on RAVDESS, outperforming ...
A lightweight CNN-LSTM framework classifies negative, neutral, and positive sentiment from live video at 84.89 percent accuracy on RAVDESS, outperforming ...
A pilot study presents a lightweight Neural ODE framework that learns a nonlinear, front-loaded temporal schedule for facial keyframe interpolation ...
A new encoder–decoder transformer with waveform-level data augmentation achieves 100 percent accuracy on German emotional speech and 94 percent on ...
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© 2025 Scienmag - Science Magazine