Difference between revisions of "2005:Audio Genre Classification Results"
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(Created page with ''''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 …') |
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| USPOP || 28.4 GB || 940 || 474 | | USPOP || 28.4 GB || 940 || 474 | ||
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| + | <br> | ||
| + | {| border="1" | ||
| + | |- style="background: yellow; text-align: center;" | ||
| + | ! colspan="3" | OVERALL | ||
| + | |-style="background: yellow;" | ||
| + | ! 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% | ||
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Revision as of 21:44, 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% |
