English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/3163
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Ver citas en Google académico
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar otros formatos: Exportar EndNote (RIS)Exportar EndNote (RIS)Exportar EndNote (RIS)
Título : Melodic Similarity: Looking for a Good Abstraction Level
Autor : Grachten, Maarten; Arcos, Josep Ll.; Lopez de Mantaras, Ramon
Palabras clave : Artificial Intelligence
Case-Based Reasoning
Fecha de publicación : 2004
Editor: Universitat Pompeu Fabra
Citación : ISMIR 2004, 5th. International Conference on Music Information Retrieval. Proceedings. Universitat Pompeu Fabra, Barcelona, Spain, October 10-14, 2004, p.p.: 210-215.
Resumen: Computing melodic similarity is a very general problem with diverse musical applications ranging from music analysis to content-based retrieval. Choosing the appropriate level of representation is a crucial issue and depends on the type of application. Our research interest concerns the development of a CBR system for expressive music processing. In that context, a well chosen distance measure for melodies is a crucial issue. In this paper we propose a new melodic similarity measure based on the I/R model for melodic structure and compare it with other existing measures. The experimentation shows that the proposed measure provides a good compromise between discriminatory power and the level of abstraction of melody representation.
URI : http://hdl.handle.net/10261/3163
Aparece en las colecciones: (IIIA) Comunicaciones congresos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
ismir04.pdf91,91 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.