On the effect of data-augmentation on local embedding properties in the contrastive learning of music audio representations
Audio embeddings are crucial tools in understanding large catalogs of music. Typically
embeddings are evaluated on the basis of the performance they provide in a wide range of …
embeddings are evaluated on the basis of the performance they provide in a wide range of …
Self-supervised learning of musical representations using VICReg; a comprehensive study of the VICReg loss function for self-supervised representation learning in …
C Hesse, S Löf - 2023 - odr.chalmers.se
Self-supervised learning has emerged as a promising method for learning informative
representations suitable for many machine learning tasks. However, while selfsupervised …
representations suitable for many machine learning tasks. However, while selfsupervised …