Proceedings of the 37 th International Conference on Machine Learning
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.
Tovstogan, P.; Serra, X.; Bogdanov, D.. Web interface for exploration of latent and tag spaces in music auto-tagging. In: ICML. Proceedings of the 37 th International Conference on Machine Learning. 1 ed. 2020.