GTZAN

Embedding-Space Diffusion for Zero-Shot Environmental Sound Classification

arXiv:2412.03771v3 Announce Type: replace Abstract: Zero-shot learning enables models to generalise to unseen classes by leveraging semantic information, bridging the gap between training and testing sets with non-overlapping classes. While much research has focused on zero-shot learning in computer vision, the application of these methods to environmental audio remains underexplored, with poor performance in existing studies. Generative methods, which have demonstrated success in computer...