From Objectives to Applications: Aligning Architectural Biases in Audio Self-Supervised Learning

Kele Xu, Yulu Fang, Boda Zhou +6

This paper examines audio self-supervised learning (SSL) through the alignment between pretraining objectives, architectural inductive biases, and downstream applications. Rather t…