Emotion in Music Task at MediaEval 2014

Anna Aljanaki, Yi-Hsuan Yang, Mohammad Soleymani
2014 MediaEval Benchmarking Initiative for Multimedia Evaluation  
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.
more » ... he 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.
dblp:conf/mediaeval/AljanakiYS14 fatcat:2n2b3ottx5bmlhfz4sl3elgh2e