Feature Extraction Using Pitch Class Profile Information Entropy

TitleFeature Extraction Using Pitch Class Profile Information Entropy
Publication TypeBook Chapter
Year of Publication2011
AuthorsKaliakatsos-Papakostas, MA, Epitropakis, MG, Vrahatis, MN
EditorAgon, C, Andreatta, M, Assayag, G, Amiot, E, Bresson, J, Mandereau, J
Book TitleMathematics and Computation in Music
Series TitleLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg

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.

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