An Analysis of the GTZAN Music Genre Dataset

Bob L. Sturm

doi:10.1145/2390848.2390851

An Analysis of the GTZAN Music Genre Dataset

Bob L. Sturm

Institut for Arkitektur og Medieteknologi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

83 Citationer (Scopus)

3122 Downloads (Pure)

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.

Originalsprog	Engelsk
Titel	Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Vol/bind	2012
Forlag	Association for Computing Machinery
Publikationsdato	2012
Sider	7-12
ISBN (Trykt)	978-1-4503-1591-3
DOI	https://doi.org/10.1145/2390848.2390851
Status	Udgivet - 2012
Begivenhed	ACM Multimedia 2012: Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies - Nara, Japan Varighed: 29 okt. 2012 → 2 nov. 2012

Konference

Konference	ACM Multimedia 2012
Land/Område	Japan
By	Nara
Periode	29/10/2012 → 02/11/2012

Navn	ACM Multimedia

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10.1145/2390848.2390851

GTZANDBIndsendt manuskript, 2,72 MB

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1 Afsluttet
1 Igangværende

Greedy Sparse Approximation and the Automatic Description of Audio and Music Data
Sturm, B. L.
Technology and Production Independent Postdoc Center for Independent Research
01/01/2012 → …
Projekter: Projekt › Forskning
CoSound
Christensen, M. G., Tan, Z., Jensen, S. H. & Sturm, B. L.
01/01/2012 → 31/12/2015
Projekter: Projekt › Forskning

The Crisis of Evaluation in Music Information Retrieval
Bob L. Sturm (Foredragsholder)
13 nov. 2013
Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed

Fil

Citationsformater

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note = "ACM Multimedia 2012 : Workshop on Music Information Retrieval with User-Centered and Multimodal Strategies ; Conference date: 29-10-2012 Through 02-11-2012",

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An Analysis of the GTZAN Music Genre Dataset. / Sturm, Bob L.
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies. Bind 2012 Association for Computing Machinery, 2012. s. 7-12 (ACM Multimedia).

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

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AB - Most research in automatic music genre recognitionhas 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.

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DO - 10.1145/2390848.2390851

M3 - Article in proceeding

SN - 978-1-4503-1591-3

VL - 2012

T3 - ACM Multimedia

SP - 7

EP - 12

BT - Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies

PB - Association for Computing Machinery

T2 - ACM Multimedia 2012

Y2 - 29 October 2012 through 2 November 2012

ER -

An Analysis of the GTZAN Music Genre Dataset

Abstract

Konference

Adgang til dokumentet

AUB Link

Andre filer og links

Fingeraftryk

Projekter

Greedy Sparse Approximation and the Automatic Description of Audio and Music Data

CoSound

Aktiviteter

The Crisis of Evaluation in Music Information Retrieval

Citationsformater