ReDA: discrepancy guided multimodal fusion for audio-visual deception detection

Deception detection often manifests as inconsistency between visual and audio cues, in which the speaker’s visual expression may conflict with their vocal pitch. Previous work has typically focused on complex attention mechanisms or concatenation-based fusion methods, assuming that both channels have identical reliability levels in all scenarios. As a result, they are highly susceptible to the det…