2007:Audio Classical Composer Identification Results
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Contents
Introduction
These are the results for the inaugural 2007 running of the Audio Classical Composer Identification task. For background information about this task set please refer to the 2007:Audio Classical Composer Identification page.
The data set consisted of 2772 30 second audio clips. The composers represented were:
- Bach
- Beethoven
- Brahms
- Chopin
- Dvorak
- Handel
- Haydn
- Mendelssohnn
- Mozart
- Schubert
- Vivaldi
The goal was to correctly identify the composer who wrote each of the pieces represented.
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
KL = Kyogu Lee
IM = IMIRSEL M2K
Overall Summary Results
MIREX 2007 Audio Classical Composer Classification Summary Results - Raw Classification Accuracy Averaged Over Three Train/Test Folds
| Participant | Avg. Raw Classification Accuracy |
|---|---|
| IM_knn | 48.38% |
| IM_svm | 53.72% |
| KL | 19.70% |
| TL | 47.26% |
| ME | 47.84% |
| ME_spec | 52.02% |
| GT | 44.59% |
MIREX 2007 Audio Classical Composer Classification Evaluation Logs and Confusion Matrices
IM_knn
IM_svm
KL
TL
ME
ME_spec
GT
MIREX 2007 Audio Classical Composer Classification Run Times
| Participant | Runtime (sec) / Fold |
|---|---|
| IM-knn | Feat Ex: 2457 Train/Classify: 199 |
| IM-svm | Feat Ex: 2457 Train/Classify: 30 |
| KL | Feat Ex: 1664 Train/Classify: 1320 |
| TL | Feat Ex: 20790 Train/Classify: 101 |
| ME | Feat Ex: 3863 Train/Classify: 31 |
| ME_spec | Feat Ex: 2807 Train/Classify: 31 |
| GT | Feat Ex/Train/Classify: 557 |
