English

An Argument-based Creative Assistant for Harmonic Blending

Sound 2016-03-08 v1 Artificial Intelligence

Abstract

Conceptual blending is a powerful tool for computational creativity where, for example, the properties of two harmonic spaces may be combined in a consistent manner to produce a novel harmonic space. However, deciding about the importance of property features in the input spaces and evaluating the results of conceptual blending is a nontrivial task. In the specific case of musical harmony, defining the salient features of chord transitions and evaluating invented harmonic spaces requires deep musicological background knowledge. In this paper, we propose a creative tool that helps musicologists to evaluate and to enhance harmonic innovation. This tool allows a music expert to specify arguments over given transition properties. These arguments are then considered by the system when defining combinations of features in an idiom-blending process. A music expert can assess whether the new harmonic idiom makes musicological sense and re-adjust the arguments (selection of features) to explore alternative blends that can potentially produce better harmonic spaces. We conclude with a discussion of future work that would further automate the harmonisation process.

Keywords

Cite

@article{arxiv.1603.01770,
  title  = {An Argument-based Creative Assistant for Harmonic Blending},
  author = {Maximos Kaliakatsos-Papakostas and Roberto Confalonieri and Joseph Corneli and Asterios Zacharakis and Emilios Cambouropoulos},
  journal= {arXiv preprint arXiv:1603.01770},
  year   = {2016}
}

Comments

8 pp; submitted to 7th International Conference on Computational Creativity

R2 v1 2026-06-22T13:04:33.002Z