TitleExtracting performers' behaviors to annotate cases in a CBR system for musical tempo transformations
Publication TypeConference Paper
Year of Publication2003
AuthorsArcos JLluis, de Mántaras RLópez, Grachten M
Conference Name(Best Paper Award) Lecture Notes in Artificial Intelligence

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.