Keep what you need : extracting efficient subnetworks from large audio representation models

David Genova, Philippe Esling, Tom Hurlin

Recently, research on audio foundation models has witnessed notable advances, as illustrated by the ever improving results on complex downstream tasks. Subsequently, those pretrain…