2007:Audio Genre Classification Results
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Contents
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 2007: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
Participant | Avg. Hierarchical Classification Accuracy | Avg. Raw Classification Accuracy |
---|---|---|
GH | 71.87% | 62.89% |
IM_knn | 64.83% | 54.87% |
IM_svm | 76.56% | 68.29% |
TL | 75.57% | 66.71% |
ME | 75.03% | 66.60% |
ME_spec | 73.57% | 65.50% |
GT | 74.15% | 65.34% |
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
Participant | Runtime (sec) / Fold |
---|---|
GH | Feat Ex: 22740 Train/Classify: 194 |
IM-knn | Feat Ex: 6879 Train/Classify: 1245 |
IM-svm | Feat Ex: 6879 Train/Classify: 51 |
TL | Feat Ex: 54192 Train/Classify: 147 |
ME | Feat Ex: 8166 Train/Classify: 207 |
ME_spec | Feat Ex: 8018 Train/Classify: 210 |
GT | Feat Ex/Train/Classify: 1442 |