English

Music Genre Bars

Human-Computer Interaction 2021-04-13 v1 Sound Audio and Speech Processing

Abstract

Music Genres, as a popular meta-data of music, are very useful to organize, explore or search music datasets. Soft music genres are weighted multiple-genre annotations to songs. In this initial work, we propose horizontally stacked bar charts to represent a music dataset annotated by these soft music genres. For this purpose, we take an example of a toy dataset consisting of songs labelled with help of three music genres; Blues, Jazz and Country. We demonstrate how such a stacked bar chart can be used as a slider for user-input in an interface. We implement this by embedding this genre bar in a streaming application prototype and show its utility in choosing playlists. We finally conclude by proposing further work and future explorations on our proposed preliminary research.

Keywords

Cite

@article{arxiv.2103.00129,
  title  = {Music Genre Bars},
  author = {Swaroop Panda and S. T. Roy},
  journal= {arXiv preprint arXiv:2103.00129},
  year   = {2021}
}

Comments

A version of this paper was presented at IEEE VIS 2020

R2 v1 2026-06-23T23:33:44.215Z