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.
Cite
CITATION STYLE
Arcos, J. L., Cañamero, D., & De Mántaras, R. L. (1999). Affect-driven CBR to generate expressive music. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1650, pp. 1–13). Springer Verlag. https://doi.org/10.1007/3-540-48508-2_1
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