Szczegóły publikacji
Opis bibliograficzny
An application of evolutionary algorithms and machine learning in four-part harmonization / Mikołaj SIKORA, Maciej SMOŁKA // W: Computational Science – ICCS 2023 : 23rd International Conference : Prague, Czech Republic, July 3–5, 2023 : proceedings, Pt. 1 / eds. Jiří Mikyška [et al.]. — Cham : Springer Nature, cop. 2023. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 14073). — ISBN: 978-3-031-35994-1; e-ISBN: 978-3-031-35995-8. — S. 221–236. — Bibliogr., Abstr. — Publikacja dostępna online od: 2023-06-26
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 147669 |
|---|---|
| Data dodania do BaDAP | 2023-07-21 |
| DOI | 10.1007/978-3-031-35995-8_16 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 23rd International Conference on Computational Science |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
The task of four-voice harmonization of a given melody is one of the most fundamental, but at the same time the most complex problems in functional harmony. This problem can be formulated as a discrete optimization problem with constraints using a set of rules coming from the theory of music. Unfortunately, a straightforward solution of such a problem, i.e., a mere fulfillment of the rules, ensures only the formal correctness of the obtained chord sequences, which does not necessarily imply overall musical quality as perceived by humans. Trying to catch some non-formalized factors of this quality we have decided to utilize artificial intelligence methods with some ‘creative‘ potential that can provide solutions at acceptable level of formal correctness. In this paper we perform the harmonization using a genetic algorithm, an algorithm based on a Bayesian network, as well as a hybrid of these. In a series of experiments we compare the performance of the three algorithms with each other and with a rule-based system that provides chord sequences at a high level of formal correctness. Besides the formal evaluation all obtained solutions were rated by musical experts. The results show that the studied algorithms can generate solutions musically more interesting than those produced by the rule-based system, even if the former are less formally correct than the latter.