Keywords

automatic music generation, emotive response

Abstract

We present a system that generates original music designed to match a target emotion. It creates n-gram models, Hidden Markov Models, and other statistical distributions based on musical selections from a corpus representing a given emotion and uses these models to probabilistically generate new musical selections with similar emotional content. This system produces unique and often remarkably musical selections that tend to match a target emotion, performing this task at a level that approaches human competency for the same task.

Original Publication Citation

Kristine Perry, Tony Martinez and Dan Ventura, "Automatic Generation of Music for Inducing Emotive Response", Proceedings of the International Conference on Computational Creativity, pp. 14-149, 21.