Paper Info
Title
An analysis of the GTZAN music genre dataset
Abstract
A significant amount of work in automatic music genre recognition has used a dataset whose composition and integrity has never been formally analyzed. For the first time, we provide an analysis of its composition, and create a machine-readable index of artist and song titles. We also catalog numerous problems with its integrity, such as replications, mislabelings, and distortions.
Year
DOI
Venue
2012
10.1145/2390848.2390851
MIRUM
Keywords
DocType
Citations 
gtzan music genre dataset,machine-readable index,significant amount,song title,automatic music genre recognition,catalog numerous problem
Conference
29
PageRank 
References 
Authors
1.16
18
1
Name
Order
Citations
PageRank
Bob L. Sturm124129.88