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Consider a generative AI model that combines text and audio inputs to produce a musical composition. The text input is a description of the desired mood and style, while the audio input is a short melody. Which of the following loss functions would be MOST appropriate for training this model?
Correct Answer: D
For generative models producing continuous data like audio, MSE is often blurry. Cross-entropy is for classification. Wasserstein loss is better than MSE for generative models, but still doesn't specifically address the multimodal aspects. Perceptual and style losses are designed to capture high-level features relevant to audio and text, respectively, making them ideal for guiding the model to generate music that aligns with both the melody and the desired mood.