# Learning to Recognize Musical Genre from Audio

**Authors:** Micha\"el Defferrard, Sharada P. Mohanty, Sean F. Carroll, Marcel, Salath\'e

arXiv: 1803.05337 · 2018-03-15

## TL;DR

This paper discusses a challenge on musical genre recognition from audio data, highlighting the task, challenge design, submission statistics, and results to advance research in automatic music genre classification.

## Contribution

It introduces a new open-data challenge for musical genre recognition, providing insights into the task setup, data, and evaluation results.

## Key findings

- Challenge attracted diverse submissions
- Results demonstrate varying model performances
- Insights into effective features for genre recognition

## Abstract

We here summarize our experience running a challenge with open data for musical genre recognition. Those notes motivate the task and the challenge design, show some statistics about the submissions, and present the results.

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/1803.05337/full.md

## References

6 references — full list in the complete paper: https://tomesphere.com/paper/1803.05337/full.md

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Source: https://tomesphere.com/paper/1803.05337