Audio Test/Train tasks
From MIREX Wiki
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 #Links to Previous MIREX Runs of These Classification Tasks). This page presents the evaluation of these tasks, including the datasets as well as the submission rules and formats.
