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.
| Original language | English |
|---|---|
| Pages | 1-6 |
| Number of pages | 6 |
| Publication status | Published - 25 Oct 2020 |
| Externally published | Yes |
| Event | VIS2020 - Virtual Duration: 25 Oct 2020 → 30 Oct 2020 https://ieeevis.org/year/2020/blog/index |
Conference
| Conference | VIS2020 |
|---|---|
| City | Virtual |
| Period | 25/10/20 → 30/10/20 |
| Internet address |
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