NeuroLip delivers an event-driven framework for cross-scene lip-motion speaker recognition, reaching over 71% accuracy on unseen viewpoints and 76% in low light while outperforming baselines by at least 8.54%.
Lip-TWUID: Noninvasive through-wall user identification using SISO radar and lip movement micro-doppler signatures with limited samples,
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NeuroLip: An Event-driven Spatiotemporal Learning Framework for Cross-Scene Lip-Motion-based Visual Speaker Recognition
NeuroLip delivers an event-driven framework for cross-scene lip-motion speaker recognition, reaching over 71% accuracy on unseen viewpoints and 76% in low light while outperforming baselines by at least 8.54%.