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cs.SD2024
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification
Calum Heggan, Sam Budgett, Timothy Hospedales +1
In recent years, self-supervised learning has excelled for its capacity to learn robust feature representations from unlabelled data. Networks pretrained through self-supervision s…
cs.SD2022
MetaAudio: A Few-Shot Audio Classification Benchmark
Calum Heggan, Sam Budgett, Timothy Hospedales +1
Currently available benchmarks for few-shot learning (machine learning with few training examples) are limited in the domains they cover, primarily focusing on image classification…