Tom Hurlin

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

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 applications. These improvements have however resulted in a conside…