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Paper Revisits Scaling and Training Objectives for Procedural Audio Pre-training
A new arXiv preprint examines how procedural audio should be scaled when used as a data source for learning transferable audio representations. The authors also ask whether training choices originally developed on natural audio still hold when the source is procedurally generated. The work aims to clarify design principles for procedural audio pre-training, an area the authors say lacks settled guidance.