Difference between revisions of "Audio Test/Train tasks"
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== Description == | == 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: | 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 [https://www.music-ir.org/mirex/wiki/2010:Audio_Classification_(Test/Train)_tasks#Links_to_Previous_MIREX_Runs_of_These_Classification_Tasks #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. | All five classification tasks were conducted in previous MIREX runs (please see [https://www.music-ir.org/mirex/wiki/2010:Audio_Classification_(Test/Train)_tasks#Links_to_Previous_MIREX_Runs_of_These_Classification_Tasks #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. | ||
| − | == | + | == Participation in previous years == |
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Latest revision as of 13:12, 3 June 2010
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.
