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Melodic Similarity: Looking for a Good Abstraction Level

AutorGrachten, Maarten; Arcos Rosell, Josep Lluís ; López de Mántaras, Ramón
Palabras claveArtificial Intelligence
Case-Based Reasoning
Fecha de publicación2004
EditorUniversitat Pompeu Fabra
CitaciónISMIR 2004, 5th. International Conference on Music Information Retrieval. Proceedings. Universitat Pompeu Fabra, Barcelona, Spain, October 10-14, 2004, p.p.: 210-215.
ResumenComputing 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.
URIhttp://hdl.handle.net/10261/3163
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