Audio Train/Test Tasks

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.

Participation in previous years

Year	Participating algorithms	URL
2009	30	https://www.music-ir.org/mirex/wiki/2009:Audio_Classical_Composer_Identification_Results
	33
	31
	33
2008	11
	11
	13
	13
2007	7
	7
	7
	9
2005	7
	13