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IEEE/ICACT20260085 Slide.16        [Big Slide]       [YouTube]	Oral Presentation
	Our training results demonstrate that the proposed acoustic–visual multimodal fusion significantly outperforms unimodal approaches. While vision-only and acoustic-only models achieve accuracies of 78.5% and 80.3% respectively, the multimodal fusion model reaches 91.2% accuracy with an F1-score of 91.0%. This corresponds to an improvement of more than 12% compared to unimodal systems, highlighting the effectiveness of combining complementary acoustic and visual information during training.

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