Official code: crowdAI/crowdai-musical-genre-recognition-starter-kit (68 stars, MIT, last commit 2023-02-15).
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.
FMA: A Dataset For Music Analysis
Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization
Can MusicGen Create Training Data for MIR Tasks?
Benchmarking Sub-Genre Classification For Mainstage Dance Music
A Unified Representation Framework for the Evaluation of Optical Music Recognition Systems
A New Dataset, Notation Software, and Representation for Computational Schenkerian Analysis
@article{defferrard2018learning,
title = {Learning to Recognize Musical Genre from Audio},
author = {Michaël Defferrard and Sharada P. Mohanty and Sean F. Carroll and Marcel Salathé},
year = {2018},
eprint = {1803.05337},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/1803.05337}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/1803.05337)