Difference between revisions of "2007:Audio Genre Classification Results"
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===MIREX 2007 Audio Genre Classification Evaluation Logs and Confusion Matrices=== | ===MIREX 2007 Audio Genre Classification Evaluation Logs and Confusion Matrices=== | ||
| − | [https://www.music-ir.org/ | + | [https://www.music-ir.org/mirex/results/2007/ag_guaus.eval.txt GH]<br /> |
| − | [https://www.music-ir.org/ | + | [https://www.music-ir.org/mirex/results/2007/ag_imirsel_knn.eval.txt IM_knn]<br /> |
| − | [https://www.music-ir.org/ | + | [https://www.music-ir.org/mirex/results/2007/ag_imirsel_svm.eval.txt IM_svm]<br /> |
| − | [https://www.music-ir.org/ | + | [https://www.music-ir.org/mirex/results/2007/ag_lidy.eval.txt TL]<br /> |
| − | [https://www.music-ir.org/ | + | [https://www.music-ir.org/mirex/results/2007/ag_mandel_1.eval.txt ME]<br /> |
| − | [https://www.music-ir.org/ | + | [https://www.music-ir.org/mirex/results/2007/ag_mandel_2_spec.eval.txt ME_spec]<br /> |
| − | [https://www.music-ir.org/ | + | [https://www.music-ir.org/mirex/results/2007/ag_tzan.eval.txt GT]<br /> |
===MIREX 2007 Audio Genre Classification Run Times=== | ===MIREX 2007 Audio Genre Classification Run Times=== | ||
Revision as of 19:25, 13 May 2010
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 |
