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Audio Tokens as a Budgeted Resource: Marginal-Utility Allocation for Scalable Audio Representations
Discrete audio tokens are widely used as a representation interface, yet fixed-depth RVQ tokenizers allocate equal capacity to every frame despite varying refinement value. We introduce UniAdapt, which learns marginal utility of RVQ refinements on a frozen codec and allocates them under exact serial
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