TY - GEN
T1 - Creating a simplified music mood classification ground-truth set
AU - Hu, Xiao
AU - Bay, Mert
AU - Downie, J. Stephen
PY - 2007
Y1 - 2007
N2 - A standardized mood classification testbed is needed for formal cross-algorithm comparison and evaluation. In this poster, we present a simplification of the problems associated with developing a ground-truth set for the evaluation of mood-based Music Information Retrieval (MIR) systems. Using a dataset derived from Last.fm tags and the USPOP audio collection, we have applied a K-means clustering method to create a simple yet meaningful cluster-based set of high-level mood categories as well as a ground-truth dataset.
AB - A standardized mood classification testbed is needed for formal cross-algorithm comparison and evaluation. In this poster, we present a simplification of the problems associated with developing a ground-truth set for the evaluation of mood-based Music Information Retrieval (MIR) systems. Using a dataset derived from Last.fm tags and the USPOP audio collection, we have applied a K-means clustering method to create a simple yet meaningful cluster-based set of high-level mood categories as well as a ground-truth dataset.
UR - http://www.scopus.com/inward/record.url?scp=84873602017&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873602017&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84873602017
SN - 9783854032182
T3 - Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
SP - 309
EP - 310
BT - Proceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
T2 - 8th International Conference on Music Information Retrieval, ISMIR 2007
Y2 - 23 September 2007 through 27 September 2007
ER -