Researchers at Apple developed a new framework to fix modal interference in text-to-sounding video generation. The system addresses the gap between dense training captions and concise user prompts. By optimizing cross-modal feature interaction, the model better aligns audio and visuals. This incremental update helps practitioners reduce synchronization errors in synthetic media.