AINeutralarXiv – CS AI · 10h ago6/10
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Scaling Audio Models Efficiently: A Joint Study of Compute Constraints and Optimization Behavior
Researchers present a systematic framework for optimizing speech processing models by analyzing tradeoffs between model size, input length, and representation resolution under fixed computational budgets. The study demonstrates non-linear scaling behavior, showing diminishing returns from model scaling and identifying practical efficiency gains through token resolution reduction without significant performance degradation.