Web interface for exploration of latent and tag spaces in music auto-tagging

Tovstogan, Philip; Serra, Xavier; Bogdanov, Dmitry

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Web interface for exploration of latent and tag spaces in music auto-tagging

Document Type: Speech/Conference communication

Version: Published version

Date: 2020

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Citation: Tovstogan P, Serra X, Bogdanov D. Web interface for exploration of latent and tag spaces in music auto-tagging. In: Proceedings of the 37 th International Conference on Machine Learning; 2020 Jul 13-18; Vienna, Austria. [Vienna]: ICML; 2020. [3 p.]

Permanent link: http://hdl.handle.net/10230/45186

Description:

Presentat a Machine Learning for Media Discovery Workshop, celebrat dins The 37th International Conference on Machine Learning

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.

Author: Tovstogan, Philip ; Serra, Xavier ; Bogdanov, Dmitry

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