Issue No. 01 - January-March (2006 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2006.3
Namunu C. Maddage , Institute for Infocomm Research
Our proposed approach detects music structures by looking at beat space segmentation, chords, singing-voice boundaries, and melody- and content-based similarity regions. Experiments illustrate that the proposed approach is capable of extracting useful information for music applications.
segmentation, voice boundaries, content-based, octaves, subbands
N. C. Maddage, "Automatic Structure Detection for Popular Music," in IEEE MultiMedia, vol. 13, no. , pp. 65-77, 2006.