Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs

Jesper Højvang Jensen; Dan P. W. Ellis; Mads Græsbøll Christensen; Søren Holdt Jensen

Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs

Jesper Højvang Jensen, Dan P. W. Ellis, Mads Græsbøll Christensen, Søren Holdt Jensen

Institut for Elektroniske Systemer

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

49 Citationer (Scopus)

1462 Downloads (Pure)

Abstract

In music similarity and in the related task of genre classification, a distance measure between Gaussian mixture models is frequently needed. We present a comparison of the Kullback-Leibler distance, the earth movers distance and the normalized L2 distance for this application. Although the normalized L2 distance was slightly inferior to the Kullback-Leibler distance with respect to classification performance, it has the advantage of obeying the triangle inequality, which allows for efficient searching.

Originalsprog	Engelsk
Titel	Proceedings of the 8th International Conference on Music Information Retrieval
Antal sider	2
Forlag	Austrian Computer Society
Publikationsdato	2007
Sider	107-108
ISBN (Trykt)	978-3-85403-218-2
Status	Udgivet - 2007
Begivenhed	International Conference on Music Information Retrieval - Vienna, Østrig Varighed: 23 sep. 2007 → 27 sep. 2007 Konferencens nummer: 8

Konference

Konference	International Conference on Music Information Retrieval
Nummer	8
Land/Område	Østrig
By	Vienna
Periode	23/09/2007 → 27/09/2007

Adgang til dokumentet

Jensen07ismirForlagets udgivne version, 282 KB

http://ismir2007.ismir.net/schedule.html

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

IntelligentSound
Jensen, S. H., Christensen, M. G., Jensen, J. H. & Laurberg, H.
STVF
01/01/2005 → 31/12/2008
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{0be3b2703f4411dc912d000ea68e967b,

title = "Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs",

abstract = "In music similarity and in the related task of genre classification, a distance measure between Gaussian mixture models is frequently needed. We present a comparison of the Kullback-Leibler distance, the earth movers distance and the normalized L2 distance for this application. Although the normalized L2 distance was slightly inferior to the Kullback-Leibler distance with respect to classification performance, it has the advantage of obeying the triangle inequality, which allows for efficient searching.",

author = "Jensen, {Jesper H{\o}jvang} and Ellis, {Dan P. W.} and Christensen, {Mads Gr{\ae}sb{\o}ll} and Jensen, {S{\o}ren Holdt}",

year = "2007",

language = "English",

isbn = "978-3-85403-218-2",

pages = "107--108",

booktitle = "Proceedings of the 8th International Conference on Music Information Retrieval",

publisher = "Austrian Computer Society",

note = "International Conference on Music Information Retrieval ; Conference date: 23-09-2007 Through 27-09-2007",

}

Jensen, JH, Ellis, DPW, Christensen, MG & Jensen, SH 2007, Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs. i Proceedings of the 8th International Conference on Music Information Retrieval. Austrian Computer Society, s. 107-108, International Conference on Music Information Retrieval, Vienna, Østrig, 23/09/2007. <http://ismir2007.ismir.net/schedule.html>

Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs. / Jensen, Jesper Højvang; Ellis, Dan P. W.; Christensen, Mads Græsbøll et al.
Proceedings of the 8th International Conference on Music Information Retrieval. Austrian Computer Society, 2007. s. 107-108.

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

TY - GEN

T1 - Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs

AU - Jensen, Jesper Højvang

AU - Ellis, Dan P. W.

AU - Christensen, Mads Græsbøll

AU - Jensen, Søren Holdt

N1 - Conference code: 8

PY - 2007

Y1 - 2007

N2 - In music similarity and in the related task of genre classification, a distance measure between Gaussian mixture models is frequently needed. We present a comparison of the Kullback-Leibler distance, the earth movers distance and the normalized L2 distance for this application. Although the normalized L2 distance was slightly inferior to the Kullback-Leibler distance with respect to classification performance, it has the advantage of obeying the triangle inequality, which allows for efficient searching.

AB - In music similarity and in the related task of genre classification, a distance measure between Gaussian mixture models is frequently needed. We present a comparison of the Kullback-Leibler distance, the earth movers distance and the normalized L2 distance for this application. Although the normalized L2 distance was slightly inferior to the Kullback-Leibler distance with respect to classification performance, it has the advantage of obeying the triangle inequality, which allows for efficient searching.

M3 - Article in proceeding

SN - 978-3-85403-218-2

SP - 107

EP - 108

BT - Proceedings of the 8th International Conference on Music Information Retrieval

PB - Austrian Computer Society

T2 - International Conference on Music Information Retrieval

Y2 - 23 September 2007 through 27 September 2007

ER -

Evaluation of Distance Measures Between Gaussian Mixture Models of MFCCs

Abstract

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

IntelligentSound

Citationsformater