Tom Hurlin
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View article: Keep what you need : extracting efficient subnetworks from large audio representation models
Keep what you need : extracting efficient subnetworks from large audio representation models Open
Recently, research on audio foundation models has witnessed notable advances, as illustrated by the ever improving results on complex downstream tasks. Subsequently, those pretrained networks have quickly been used for various audio applic…