作者
Ioannis Karydis, Aggelos Gkiokas, Vassilis Katsouros
发表日期
2016
研讨会论文
Artificial Intelligence Applications and Innovations: 12th IFIP WG 12.5 International Conference and Workshops, AIAI 2016, Thessaloniki, Greece, September 16-18, 2016, Proceedings 12
页码范围
562-572
出版商
Springer International Publishing
简介
Music Information Research requires access to real musical content in order to test efficiency and effectiveness of its methods as well as to compare developed methodologies on common data. Existing datasets do not address the research direction of musical track popularity that has recently received considerate attention. Existing sources of musical popularity do not provide easily manageable data and no standardised dataset exists. Accordingly, in this paper we present the Track Popularity Dataset (TPD) that provides different sources of popularity definition ranging from 2004 to 2014, a mapping between different track/author/album identification spaces that allows use of all different sources, information on the remaining, non popular, tracks of an album with a popular track, contextual similarity between tracks and ready for MIR use extracted features for both popular and non-popular audio tracks.
引用总数
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学术搜索中的文章
I Karydis, A Gkiokas, V Katsouros - Artificial Intelligence Applications and Innovations: 12th …, 2016