Extracting performers' behaviors to annotate cases in a CBR system for musical tempo transformations

Authors:
Josep Lluís Arcos;Maarten Grachten;Ramon López de Mántaras
Affiliations:
Artificial Intelligence Research Institute, CSIC, Bellaterra, Catalonia, Spain;Artificial Intelligence Research Institute, CSIC, Bellaterra, Catalonia, Spain;Artificial Intelligence Research Institute, CSIC, Bellaterra, Catalonia, Spain
Venue:
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Year:
2003

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Abstract

In this paper we describe a method, based on the edit distance, to construct cases of musical performances by annotating them with the musical behavior of the performer.The cases constructed with this knowledge are used in Tempo-Express, a CBR system for applying tempo transformations to musical performances, preserving musical expressiveness.