Researchers at Apple developed a new framework to fix synchronization gaps in text-to-sounding video generation. The system addresses modal interference caused by shared captions and optimizes cross-modal feature interaction. This refinement reduces the discrepancy between dense training data and concise user prompts. It enables more precise audio-visual alignment for synthetic media.