AI RESEARCH
AudioMosaic: Contrastive Masked Audio Representation Learning
arXiv CS.LG
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ArXi:2605.14231v1 Announce Type: new Audio self-supervised learning (SSL) aims to learn general-purpose representations from large-scale unlabeled audio data. While recent advances have been driven mainly by generative reconstruction objectives, contrastive approaches remain less explored, partly due to the difficulty of designing effective audio augmentations and the large batch sizes required for contrastive pre-