Symbolic Music Data Version 1.0
Sound
2016-06-09 v1 Artificial Intelligence
Abstract
In this document, we introduce a new dataset designed for training machine learning models of symbolic music data. Five datasets are provided, one of which is from a newly collected corpus of 20K midi files. We describe our preprocessing and cleaning pipeline, which includes the exclusion of a number of files based on scores from a previously developed probabilistic machine learning model. We also define training, testing and validation splits for the new dataset, based on a clustering scheme which we also describe. Some simple histograms are included.
Cite
@article{arxiv.1606.02542,
title = {Symbolic Music Data Version 1.0},
author = {Christian Walder},
journal= {arXiv preprint arXiv:1606.02542},
year = {2016}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1606.01368