Emotion in music task at MediaEval 2014
Journal
CEUR Workshop Proceedings
Journal Volume
1263
Date Issued
2014-01-01
Author(s)
Abstract
Emotional expression is an important property of music. Its emotional characteristics are thus especially natural for music indexing and recommendation. The Emotion in Music task addresses the task of automatic music emotion prediction and is held for the second year in 2014. As compared to previous year, we modified the task by offering a new feature development subtask, and releasing a new evaluation set. We employed a crowdsourcing approach to collect the data, using Amazon Mechanical Turk. The dataset consists of music licensed under Creative Commons from the Free Music Archive, which can be shared freely without restrictions. In this paper we describe the dataset collection, annotations, and evaluation criteria, as well as the two required and optional runs.
Type
conference paper