TY - GEN
T1 - An evaluation of feature extraction for query-by-content audio information retrieval
AU - Yu, Yi
AU - Downie, J. Stephen
AU - Joe, Kazuki
PY - 2007
Y1 - 2007
N2 - Content-based audio information retrieval is one of the most interesting and fast-growing research areas. Suitable feature sets can help to reduce the tedious computation time and speed up retrieval. In this paper we report a study of the music spectral properties aimed at the acoustic-based music data similarity measurement and show that the spectral features of adjacent frames are highly correlated. Based on such a case study we mainly focus on making an evaluation of feature choice in the three aspects: storage, computation and retrieval ratio. The extensive evaluations confirm the effectiveness of feature merge in quickening sequence matching for query-by-content audio retrieval and show that MFCC with feature merge is the best tradeoff among storage requirement, computation cost and retrieval ratio.
AB - Content-based audio information retrieval is one of the most interesting and fast-growing research areas. Suitable feature sets can help to reduce the tedious computation time and speed up retrieval. In this paper we report a study of the music spectral properties aimed at the acoustic-based music data similarity measurement and show that the spectral features of adjacent frames are highly correlated. Based on such a case study we mainly focus on making an evaluation of feature choice in the three aspects: storage, computation and retrieval ratio. The extensive evaluations confirm the effectiveness of feature merge in quickening sequence matching for query-by-content audio retrieval and show that MFCC with feature merge is the best tradeoff among storage requirement, computation cost and retrieval ratio.
UR - http://www.scopus.com/inward/record.url?scp=49649118637&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=49649118637&partnerID=8YFLogxK
U2 - 10.1109/ISMW.2007.4475986
DO - 10.1109/ISMW.2007.4475986
M3 - Conference contribution
AN - SCOPUS:49649118637
SN - 0769530842
SN - 9780769530840
T3 - Proceedings ISM Workshops 2007 9th IEEE International Symposium on Multimedia - Workshops
SP - 297
EP - 302
BT - Proceedings ISM Workshops 2007 - 9th IEEE International Symposium on Multimedia - Workshops
T2 - ISM Workshops 2007 - 9th IEEE International Symposium on Multimedia - Workshops
Y2 - 10 December 2007 through 12 December 2007
ER -