TY - CHAP T1 - Feature Extraction Using Pitch Class Profile Information Entropy T2 - Mathematics and Computation in Music Y1 - 2011 A1 - M. A. Kaliakatsos-Papakostas A1 - M. G. Epitropakis A1 - M. N. Vrahatis ED - Agon, Carlos ED - Andreatta, Moreno ED - Assayag, GĂ©rard ED - Amiot, Emmanuel ED - Bresson, Jean ED - Mandereau, John AB - 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. JF - Mathematics and Computation in Music T3 - Lecture Notes in Computer Science PB - Springer Berlin / Heidelberg VL - 6726 UR - http://dx.doi.org/10.1007/978-3-642-21590-2_32 ER -