Abstract:
We present an online graphical web interface for
the exploration and evaluation of embedding and
tag spaces of music auto-tagging systems. It allows
for quick and qualitative evaluation of individual
and pairwise tag predictions as well as
visualization of tag and embedding latent spaces
(original and with dimensionality reduction). We
provide taggrams and embedding vectors for the
MTG-Jamendo dataset from multiple state-of-theart
auto-tagging models that can be explored and
compared.