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Our real-world evaluation shows that the proposed multimodal fusion model maintains strong performance under challenging environmental conditions. While vision-only and acoustic-only models achieve accuracies of 78.0% and 79.6% respectively, the multimodal approach reaches 88.7% accuracy with an F1-score of 88.3% in low-light and high-noise environments. Moreover, the average inference latency remains compatible with real-time Edge AI operation, confirming the practicality of the proposed system in real deployment scenarios. |
IEEE/ICACT20260085 Slide.17
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