An Analysis of the GTZAN Music Genre Dataset

Bob L. Sturm

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

84 Citationer (Scopus)
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Abstract

Most research in automatic music genre recognition
has used the dataset assembled by Tzanetakis et al. in 2001.
The composition and integrity of this dataset,
however, 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,
identifying nearly all excerpts.
We also catalog numerous problems with its integrity,
including replications, mislabelings, and distortion.
OriginalsprogEngelsk
TitelProceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Vol/bind2012
ForlagAssociation for Computing Machinery
Publikationsdato2012
Sider7-12
ISBN (Trykt)978-1-4503-1591-3
DOI
StatusUdgivet - 2012
BegivenhedACM Multimedia 2012: Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies - Nara, Japan
Varighed: 29 okt. 20122 nov. 2012

Konference

KonferenceACM Multimedia 2012
Land/OmrådeJapan
ByNara
Periode29/10/201202/11/2012
NavnACM Multimedia

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