10.18710/BAX9N5
Jónsson, Björn Þór
Björn Þór
Jónsson
https://orcid.org/0000-0003-1304-5913
University of Oslo
Glette, Kyrre
Kyrre
Glette
https://orcid.org/0000-0003-3550-3225
University of Oslo
Erdem, Çağrı
Çağrı
Erdem
https://orcid.org/0000-0003-2632-6829
University of Oslo
Fasciani, Stefano
Stefano
Fasciani
https://orcid.org/0000-0001-5555-3225
University of Oslo
Supporting Data for: Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs
Sonic design with evolutionary algorithms
DataverseNO
2024
Arts and Humanities
Computer and Information Science
Sound Synthesis
Quality Diversity Search
Innovation Engines
University of Oslo
University of Oslo
Jónsson, Björn Þór
Björn Þór
Jónsson
University of Oslo
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion
2023-11-07
2024-01-18
2026-02-25
2023-03-01/2023-10-31
Generation data, genomes and elite maps, from evolutionary simulations.;Rendered sound objects from genomes discovered during evolutionary simulations.
10.1007/978-3-031-56992-0_14
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1.3
Creative Commons Attribution 4.0 International License.
Data accompanying the article Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs. The Innovation Engine algorithm is used to evolve sounds, where Quality Diversity search is guided by the YAMNet classifier to discover sounds.
This study proposes the application of a system for generative sound synthesis that automates the discovery of inspiring sounds using Quality Diversity algorithms and a discriminative model inspired by the Innovation Engine algorithm. The approach addresses the challenges composers face in creating and refining new tools to achieve their musical goals. By promoting diversity and fostering serendipitous discoveries, the proposed approach expands the composer’s palette and makes the entirety of the sonic domain more accessible. The study presents generated sound objects through an online explorer and as rendered sound files, as well as an experimental application showcasing the creative potential of the discovered sounds. Our proposed approach offers a promising direction for sonic design that embraces automation, serendipity, and creativity.
kromosynth-cli, 1.0.8
The Research Council of Norway
262762