Automatic Structure Detection for Popular Music

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http://doi.ieeecomputersociety.org/10.1109/MMUL.2006.3

January-March 2006 (vol. 13 no. 1) pp. 65-77

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	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 -

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.

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.-Mar. 2006, doi:10.1109/MMUL.2006.3

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