TY - GEN
T1 - A professionally annotated and enriched multimodal data set on popular music
AU - Schedl, Markus
AU - Orio, Nicola
AU - Liem, Cynthia C.S.
AU - Peeters, Geoffroy
PY - 2013
Y1 - 2013
N2 - This paper presents the MusiClef data set, a multimodal data set of professionally annotated music. It includes editorial metadata about songs, albums, and artists, as well as MusicBrainz identifiers to facilitate linking to other data sets. In addition, several state-of-the-art audio features are provided. Different sets of annotations and music context data - collaboratively generated user tags, web pages about artists and albums, and the annotation labels provided by music experts - are included too. Versions of this data set were used in the MusiClef evaluation campaigns in 2011 and 2012 for auto-tagging tasks. We report on the motivation for the data set, on its composition, on related sets, and on the evaluation campaigns in which versions of the set were already used. These campaigns likewise represent one use case, i.e. music auto-tagging, of the data set. The complete data set is publicly available for download at http://www.cp.jku.at/musiclef.
AB - This paper presents the MusiClef data set, a multimodal data set of professionally annotated music. It includes editorial metadata about songs, albums, and artists, as well as MusicBrainz identifiers to facilitate linking to other data sets. In addition, several state-of-the-art audio features are provided. Different sets of annotations and music context data - collaboratively generated user tags, web pages about artists and albums, and the annotation labels provided by music experts - are included too. Versions of this data set were used in the MusiClef evaluation campaigns in 2011 and 2012 for auto-tagging tasks. We report on the motivation for the data set, on its composition, on related sets, and on the evaluation campaigns in which versions of the set were already used. These campaigns likewise represent one use case, i.e. music auto-tagging, of the data set. The complete data set is publicly available for download at http://www.cp.jku.at/musiclef.
KW - multimodal music data sets
KW - MusiClef
UR - http://www.scopus.com/inward/record.url?scp=84877963431&partnerID=8YFLogxK
U2 - 10.1145/2483977.2483985
DO - 10.1145/2483977.2483985
M3 - Conference contribution
AN - SCOPUS:84877963431
SN - 9781450318945
T3 - Proceedings of the 4th ACM Multimedia Systems Conference, MMSys 2013
SP - 78
EP - 83
BT - Proceedings of the 4th ACM Multimedia Systems Conference, MMSys 2013
T2 - 4th ACM Multimedia Systems Conference, MMSys 2013
Y2 - 28 February 2013 through 1 March 2013
ER -