Feature Extraction Using Pitch Class Profile Information Entropy
Identifieur interne : 000575 ( Main/Exploration ); précédent : 000574; suivant : 000576Feature Extraction Using Pitch Class Profile Information Entropy
Auteurs : A. Kaliakatsos-Papakostas [Grèce] ; G. Epitropakis [Grèce] ; N. Vrahatis [Grèce]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
English descriptors
Abstract
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.
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DOI: 10.1007/978-3-642-21590-2_32
Affiliations:
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Vrahatis</name><affiliation wicri:level="1"><country xml:lang="fr">Grèce</country><wicri:regionArea>Computational Intelligence Laboratory (CI Lab), Department of Mathematics, University of Patras</wicri:regionArea><wicri:noRegion>University of Patras</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Grèce</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2011</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno></series><idno type="istex">4D0E6DD4AA232072313D8B8C07F36652FDED2B4E</idno><idno type="DOI">10.1007/978-3-642-21590-2_32</idno><idno type="ChapterID">Chap32</idno><idno type="ChapterID">32</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Composer Identification</term><term>Global Features</term><term>Information Entropy</term><term>Pitch Class Profile</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><affiliations><list><country><li>Grèce</li></country></list><tree><country name="Grèce"><noRegion><name sortKey="Kaliakatsos Papakostas, A" sort="Kaliakatsos Papakostas, A" uniqKey="Kaliakatsos Papakostas A" first="A." last="Kaliakatsos-Papakostas">A. Kaliakatsos-Papakostas</name></noRegion><name sortKey="Epitropakis, G" sort="Epitropakis, G" uniqKey="Epitropakis G" first="G." last="Epitropakis">G. Epitropakis</name><name sortKey="Epitropakis, G" sort="Epitropakis, G" uniqKey="Epitropakis G" first="G." last="Epitropakis">G. Epitropakis</name><name sortKey="Kaliakatsos Papakostas, A" sort="Kaliakatsos Papakostas, A" uniqKey="Kaliakatsos Papakostas A" first="A." last="Kaliakatsos-Papakostas">A. Kaliakatsos-Papakostas</name><name sortKey="Vrahatis, N" sort="Vrahatis, N" uniqKey="Vrahatis N" first="N." last="Vrahatis">N. Vrahatis</name><name sortKey="Vrahatis, N" sort="Vrahatis, N" uniqKey="Vrahatis N" first="N." last="Vrahatis">N. Vrahatis</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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