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A-JEPA: Audio Joint-Embedding Model by anirbanc2004 is a document available to read on EtoBox.

What is A-JEPA: Audio Joint-Embedding Model about?

The paper introduces A-JEPA, an Audio-based Joint-Embedding Predictive Architecture that applies masked-modeling principles from vision models to audio data for self-supervised learning. It utilizes a curriculum masking strategy to enhance contextual understanding and achieves state-of-the-art performance in audio classification tasks, outperforming existing models. The findings suggest that A-JEPA

Author

anirbanc2004

Language

EN