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Extracting Performers’ Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article 01 Jan 2003Publisher:Springer Berlin Heidelberg
Authors: Arcos Rosell, Josep Lluís; Grachten, Maarten; López de Mántaras, Ramón;

doi: 10.1007/3-540-45006-8_5

handle: 10261/3148

Extracting Performers’ Behaviors to Annotate Cases in a CBR System for Musical Tempo Transformations

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.

This research has been partially supported by the Spanish Ministry of Science and Technology under the project TIC 2000-1094-C02 "Tabasco: Content-based Audio Transformation using CBR"

Best Paper Award. The original publication is available at www.springerlink.com

Peer reviewed

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Keywords

Artificial intelligence, Case-based reasoning

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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