A probabilistic approach to melodic similarity
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Campo DC | Valor | Idioma |
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dc.contributor | Reconocimiento de Formas e Inteligencia Artificial | en |
dc.contributor.author | Bernabeu Briones, José Francisco | - |
dc.contributor.author | Calera Rubio, Jorge | - |
dc.contributor.author | Iñesta, José M. | - |
dc.contributor.author | Rizo, David | - |
dc.contributor.other | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | en |
dc.date.accessioned | 2011-02-03T12:43:57Z | - |
dc.date.available | 2011-02-03T12:43:57Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | BERNABEU BRIONES, José Francisco, et al. "A probabilistic approach to melodic similarity". In: MML 2009: Second International Workshop on Machine Learning and Music, at ECML PKDD 2009, September 7, 2009, Bled, Slovenia / Rafael Ramirez, Darrell Conklin, Christina Anagnostopoulou (Eds.), pp. 54-59 | en |
dc.identifier.uri | http://hdl.handle.net/10045/16175 | - |
dc.description.abstract | Melodic similarity is an important research topic in music information retrieval. The representation of symbolic music by means of trees has proven to be suitable in melodic similarity computation, because they are able to code rhythm in their structure leaving only pitch representations as a degree of freedom for coding. In order to compare trees, different edit distances have been previously used. In this paper, stochastic k-testable tree-models, formerly used in other domains like structured document compression or natural language processing, have been used for computing a similarity measure between melody trees as a probability and their performance has been compared to a classical tree edit distance. | en |
dc.description.sponsorship | This work is supported by the Spanish Ministry projects: DPI2006-15542-C04, TIN2006-14932-C02, both partially supported by EU ERDF, the Consolider Ingenio 2010 research programme (project MIPRCV, CSD2007-00018) and the Pascal Network of Excellence. | en |
dc.language | eng | en |
dc.publisher | ECML PKDD | en |
dc.subject | Melodic similarity | en |
dc.subject | Music information retrieval | en |
dc.subject | Stochastic k-testable tree-models | en |
dc.subject.other | Lenguajes y Sistemas Informáticos | en |
dc.title | A probabilistic approach to melodic similarity | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.peerreviewed | si | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/216886 | en |
Aparece en las colecciones: | INV - GRFIA - Comunicaciones a Congresos, Conferencias, etc. Investigaciones financiadas por la UE |
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mml2009Bernabeu.pdf | 120,53 kB | Adobe PDF | Abrir Vista previa | |
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