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 multimodal AI model called ERF-BA-TFD+ detects and localizes audio-visual deepfakes by cross-reconstructing audio and video features and reasoning over ...
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© 2025 Scienmag - Science Magazine