Preprint
Aug 2026
Exploring the Design Space of Representation Learning for Audio Transformations
This framework produces both a transformation embedding and a processed-audio embedding, and it finds that the two play complementary roles: distance-based tasks favor the former, while probe-based tasks favor the latter.
Sungho Lee, Marco A. Mart'inez-Ram'irez, Junghyun Koo et al.
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