Publications

Affect-Driven CBR to generate expressive music

Publication Type:

Conference Paper

Authors:

Josep Lluis Arcos; Dolores Cañamero; Ramon López de Mántaras

Source:

Lecture Notes in Artificial Intelligence, Springer-Verlag, Volume 1650, p.1-13 (1999)

Abstract:

We present an extension of an existing system, called SaxEx, capable of generating expressive musical performances based on Case-Based Reasoning (CBR) techniques. The previous version of SaxEx did not take into account the possibility of using affective labels to guide the CBR task. This paper discusses the introduction of such affective knowledge to improve the retrieval capabilities of the system. Three affective dimensions are considered -tender-aggressive, sad-joyful, and calm-restless- that allow the user to declaratively instruct the system to perform according to any combination of five qualitative values along these three dimensions.

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