Affective-Driven Music Production: Selection and Transformation of Music

Authors

Abstract

The work described in this paper is part of a project that aims to implement and assess a computer system that can control the affective content of the music output, in such a way that it may express an intended emotion. In this system, music selection and transformation are helped by a knowledge base with weighted mappings between music features (e.g., note duration and tempo) and continuous affective dimensions (valence and arousal) grounded on mappings from music research literature and experimentally-derived weighted mappings. This paper focus on the evaluation of these mappings in the selection and transformation of music for the expression of an intended emotion.

Keywords

Music Computing

Subject

Music Computing

Conference

International Conference on Digital Arts - ARTECH, November 2008

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