Difference between revisions of "2011:Audio Classification (Train/Test) Tasks"
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Revision as of 12:52, 8 July 2011
Audio Classification (Test/Train) tasks
Description
Many tasks in music classification can be characterized into a two-stage process: training classification models using labeled data and testing the models using new/unseen data. Therefore, we propose this "meta" task which includes various audio classification tasks that follow this Train/Test process. For MIREX 2010, five classification sub-tasks are included:
- Audio Artist Identification
- Audio Classical Composer Identification
- Audio US Pop Music Genre Classification
- Audio Latin Music Genre Classification
- Audio Mood Classification
All five classification tasks were conducted in previous MIREX runs (please see ). This page presents the evaluation of these tasks, including the datasets as well as the submission rules and formats.
