Learning melodic analysis rules
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/20836
Registro completo de metadatos
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor | Reconocimiento de Formas e Inteligencia Artificial | en |
dc.contributor.author | Illescas, Plácido R. | - |
dc.contributor.author | Rizo, David | - |
dc.contributor.author | Iñesta, José M. | - |
dc.contributor.author | Ramírez, Rafael | - |
dc.contributor.other | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | en |
dc.date.accessioned | 2012-02-27T16:45:53Z | - |
dc.date.available | 2012-02-27T16:45:53Z | - |
dc.date.issued | 2011-12 | - |
dc.identifier.uri | http://hdl.handle.net/10045/20836 | - |
dc.description | Comunicación presentada en MML 2011, 4th International Workshop on Machine Learning and Music: Learning from Musical Structure, Sierra Nevada, Spain, December 17, 2011. | en |
dc.description.abstract | Automatic musical analysis has been approached from different perspectives: grammars, expert systems, probabilistic models, and model matching have been proposed for implementing tonal analysis. In this work we focus on automatic melodic analysis. One question that arises when building a melodic analysis system using a-priori music theory is whether it is possible to automatically extract analysis rules from examples, and how similar are those learnt rules compared to music theory rules. This work investigates this question, i.e. given a dataset of analyzed melodies our objective is to automatically learn analysis rules and to compare them with music theory rules. | en |
dc.language | eng | en |
dc.subject | Automatic musical analysis | en |
dc.subject | Automatic melodic analysis | en |
dc.subject | Melodic analysis rules | en |
dc.subject.other | Lenguajes y Sistemas Informáticos | en |
dc.title | Learning melodic analysis rules | en |
dc.type | info:eu-repo/semantics/conferenceObject | en |
dc.peerreviewed | si | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
Aparece en las colecciones: | INV - GRFIA - Comunicaciones a Congresos, Conferencias, etc. |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
mml2011-melan-final.pdf | 126,46 kB | Adobe PDF | Abrir Vista previa | |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.