TY - GEN
T1 - ICA-FX features for classification of singing voice and instrumental sound
AU - Leung, Tat-Wan
AU - Ngo, Chong-Wah
AU - Lau, Rynson W. H.
PY - 2004
Y1 - 2004
N2 - This paper describes a new approach in locating the segments of singing voice in pop musical songs. Initially, GLR distance measure is employed to temporally detect the boundaries of singing voices and instrumental sounds. ICA-FX is then adopted to extract the independent components of acoustic features for SVM classification. Experimental results indicate that ICA-FX can improve the classification performance by significantly reducing the independent components that are not related to class label information.
AB - This paper describes a new approach in locating the segments of singing voice in pop musical songs. Initially, GLR distance measure is employed to temporally detect the boundaries of singing voices and instrumental sounds. ICA-FX is then adopted to extract the independent components of acoustic features for SVM classification. Experimental results indicate that ICA-FX can improve the classification performance by significantly reducing the independent components that are not related to class label information.
UR - http://www.scopus.com/inward/record.url?scp=10044292851&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-10044292851&origin=recordpage
U2 - 10.1109/ICPR.2004.1334222
DO - 10.1109/ICPR.2004.1334222
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 769521282
VL - 2
SP - 367
EP - 370
BT - Proceedings - International Conference on Pattern Recognition
T2 - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Y2 - 23 August 2004 through 26 August 2004
ER -