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Automatic Structure Detection for Popular Music
January-March 2006 (vol. 13 no. 1)
pp. 65-77
| ASCII Text | x | ||
| Namunu C. Maddage, "Automatic Structure Detection for Popular Music," IEEE Multimedia, vol. 13, no. 1, pp. 65-77, January-March, 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/MMUL.2006.3, author = {Namunu C. Maddage}, title = {Automatic Structure Detection for Popular Music}, journal ={IEEE Multimedia}, volume = {13}, number = {1}, issn = {1070-986X}, year = {2006}, pages = {65-77}, doi = {http://doi.ieeecomputersociety.org/10.1109/MMUL.2006.3}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Multimedia TI - Automatic Structure Detection for Popular Music IS - 1 SN - 1070-986X SP65 EP77 EPD - 65-77 A1 - Namunu C. Maddage, PY - 2006 KW - segmentation KW - voice boundaries KW - content-based KW - octaves KW - subbands VL - 13 JA - IEEE Multimedia ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2006.3
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.
Index Terms:
segmentation, voice boundaries, content-based, octaves, subbands
Citation:
Namunu C. Maddage, "Automatic Structure Detection for Popular Music," IEEE Multimedia, vol. 13, no. 1, pp. 65-77, Jan.-March 2006, doi:10.1109/MMUL.2006.3
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