NCA-GENM Exam Dumps | You are working on a multimodal emotion recognition system that analyzes video (visual and audio) and

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You are working on a multimodal emotion recognition system that analyzes video (visual and audio) and transcript (text) dat a. You want to fuse these modalities effectively. Which fusion technique is MOST likely to capture complex inter-modal relationships and improve performance, especially when the modalities have varying degrees of reliability?

A. Early fusion (concatenating features before feeding into a single model).

B. Late fusion (averaging the probabilities from separate modality-specific models).

C. Attention-based fusion (using attention mechanisms to weigh the contributions of each modality dynamically).

D. Simple concatenation of modality-specific embeddings at a single point in the model.

E. Feature-level averaging.

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