NCA-GENM Exam Dumps | You are building a multimodal emotion recognition system that takes both facial expressions (images)

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Question 9/192

You are building a multimodal emotion recognition system that takes both facial expressions (images) and speech audio as input. During development, you observe that the model is heavily biased towards the audio modality, effectively ignoring the visual input. Which technique would be the LEAST effective in mitigating this modality bias?

A. Modality dropout: Randomly dropping out one of the modalities during training.

B. Gradient blending: Adjusting the gradients from each modality based on their relative importance.

C. Increasing the complexity of the audio processing branch and simplifying the image processing branch of the model.

D. Reweighting the loss function to penalize errors made based on the less dominant modality (image).

E. Adversarial training to make each modality indistinguishable.

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