@inbook {25,
	title = {Feature Extraction Using Pitch Class Profile Information Entropy},
	booktitle = {Mathematics and Computation in Music},
	series = {Lecture Notes in Computer Science},
	volume = {6726},
	year = {2011},
	pages = {354-357},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	abstract = {Computer aided musical analysis has led a research stream to explore the description of an entire musical piece by a single value. Combinations of such values, often called global features, have been used for several identification tasks on pieces with symbolic music representation. In this work we extend some ideas that estimate information entropy of sections of musical pieces, to utilize the Pitch Class Profile information entropy for global feature extraction. Two approaches are proposed and tested, the first approach considers musical sections as overlapping sliding onset windows, while the second one as non-overlapping fixed-length time windows.},
	doi = {10.1007/978-3-642-21590-2_32},
	url = {http://dx.doi.org/10.1007/978-3-642-21590-2_32},
	author = {M. A. Kaliakatsos-Papakostas and M. G. Epitropakis and M. N. Vrahatis},
	editor = {Agon, Carlos and Andreatta, Moreno and Assayag, G{\'e}rard and Amiot, Emmanuel and Bresson, Jean and Mandereau, John}
}
