2007:Audio Genre Classification Results

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Revision as of 23:34, 1 October 2007 by Jhlee (talk | contribs) (Team ID)

Introduction

These are the results for the 2007 running of the Audio Genre Classification task. For background information about this task set please refer to the Audio Genre Classification page. The data set consisted of 7000 30 second clips covering the following genres (700 tracks per genre):

A  : BAROQUE
B  : BLUES
C  : CLASSICAL
D  : COUNTRY
E  : EDANCE
F  : JAZZ
G  : METAL
H  : RAPHIPHOP
I  : ROCKROLL
J  : ROMANTIC

Partial scores were earned for some confusions (i.e., ROCKROLL-METAL; JAZZ-BLUES, etc.)

General Legend

Team ID

ME = Michael I. Mandel, Daniel P. W. Ellis
TL = Thomas Lidy, Andreas Rauber, Antonio Pertusa, José Manuel Iñesta
GT = George Tzanetakis
GH = Enric Guaus, Perfecto Herrera
IM = IMIRSEL M2K

Overall Summary Results

MIREX 2007 Audio Genre Classification Summary Results - Raw and Hierarchical Classification Accuracy Averaged Over Three Train/Test Folds

file /nema-raid/www/mirex/results/genre.results.csv not found

MIREX 2007 Audio Genre Classification Evaluation Logs and Confusion Matrices

GH
IM_knn
IM_svm
TL
ME
ME_spec
GT

MIREX 2007 Audio Genre Classification Run Times

file /nema-raid/www/mirex/results/genre.runtime.csv not found