Learning to analyse tonal music
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http://hdl.handle.net/10045/16178
Títol: | Learning to analyse tonal music |
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Autors: | Illescas, Plácido R. | Rizo, David | Iñesta, José M. |
Grups d'investigació o GITE: | Reconocimiento de Formas e Inteligencia Artificial |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Paraules clau: | Tonal analysis | Polyphonic scores | Symbolic format | Automation |
Àrees de coneixement: | Lenguajes y Sistemas Informáticos |
Data de publicació: | de juliol-2008 |
Editor: | MML |
Citació bibliogràfica: | ILLESCAS, Plácido R.; RIZO VALERO, David; IÑESTA QUEREDA, José Manuel. "Learning to analyse tonal music". En: Proceedings of the International Workshop on Machine Learning and Music, MML 2008 : 5-12 July 2008, Helsinki, Finland, pp. 25-26 |
Resum: | This work is an effort towards the development of a system for the automation of traditional tonal analysis of polyphonic scores in symbolic format. The system detects chords with their tonal functions, and key changes. All the possible tonal and key analyses are represented as a weighted directed acyclic graph. The best analysis is the path that maximizes, through a dynamic programming algorithm, the sum of weights in the graph. The selection of the weights according to the importance of each possible harmonic progression is a key issue. A genetic algorithm is proposed to learn them from a training corpus of a given music style. The proof of concept of this approach has been tested on Bach chorales. |
Patrocinadors: | This work is supported by the Spanish PROSEMUS project (TIN2006-14932-C02), the research programme Consolider Ingenio 2010 (MIPRCV, CSD2007-00018) and the Pascal Network of Excellence. |
URI: | http://hdl.handle.net/10045/16178 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/conferenceObject |
Revisió científica: | si |
Apareix a la col·lecció: | INV - GRFIA - Comunicaciones a Congresos, Conferencias, etc. Investigacions finançades per la UE |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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harmonicga.pdf | 56,03 kB | Adobe PDF | Obrir Vista prèvia | |
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