Difference between revisions of "2005:Audio Genre Classification Results"
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! colspan="3" | OVERALL | ! colspan="3" | OVERALL | ||
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| − | ! Rank !! Participant !! Mean of Magnatune Hierarchical Classification Accuracy and USPOP Raw Classification Accuracy | + | ! Rank !! Participant !! Mean of Magnatune Hierarchical Classification <br> Accuracy and USPOP Raw Classification Accuracy |
|- | |- | ||
| 1 || Bergstra, Casagrande & Eck (2) || 82.34% | | 1 || Bergstra, Casagrande & Eck (2) || 82.34% | ||
Revision as of 21:45, 27 July 2010
Goal: To classify polyphonic music audio (in PCM format) into genre categories.
Dataset: Two sets of data were used: Magnatune and USPOP. The Magnatune dataset has a hierarchical genre taxonomy, while the USPOP categories are at a single level. The audio sampling rates used were either 44.1 KHz or 22.05 KHz (mono). More data information is in the following table:
| Dataset | Size (@ 44.1 KHz) | Number of Training Files | Number of Testing Files |
|---|---|---|---|
| Magnatune | 34.3 GB | 1005 | 510 |
| USPOP | 28.4 GB | 940 | 474 |
| OVERALL | ||
|---|---|---|
| Rank | Participant | Mean of Magnatune Hierarchical Classification Accuracy and USPOP Raw Classification Accuracy |
| 1 | Bergstra, Casagrande & Eck (2) | 82.34% |
| 2 | Bergstra, Casagrande & Eck (1) | 81.77% |
| 3 | Mandel & Ellis | 78.81% |
| 4 | West, K. | 75.29% |
| 5 | Lidy & Rauber (SSD+RH) | 75.27% |
| 6 | Pampalk, E. | 75.14% |
| 7 | Lidy & Rauber (RP+SSD) | 74.78% |
| 8 | Lidy & Rauber (RP+SSD+RH) | 74.58% |
| 9 | Scaringella, N. | 73.11% |
| 10 | Ahrendt, P. | 71.55% |
| 11 | Burred, J. | 62.63% |
| 12 | Soares, V. | 60.98% |
| 13 | Tzanetakis, G. | 60.72% |
