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Queen Mary University of London
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Two-stage mixing systems can dramatically enhance audio quality, but their effectiveness hinges on proper task decomposition and model selection.
Encoding expert music mixing conventions into language models can significantly elevate the quality of automatic music upmixing.
Achieving high-quality music mixing while allowing for nuanced stylistic control could redefine how producers approach automated mixing.
Sound designers find current AI tools adequate for fast-consumption media, but still need more narrative sophistication for high-end projects like films and immersive experiences.