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Citation |
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Title: |
Supporting Data for: Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs |
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Identification Number: |
doi:10.18710/BAX9N5 |
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Distributor: |
DataverseNO |
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Date of Distribution: |
2024-01-18 |
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Version: |
1 |
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Bibliographic Citation: |
Jónsson, Björn Þór; Glette, Kyrre; Erdem, Çağrı; Fasciani, Stefano, 2024, "Supporting Data for: Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs", https://doi.org/10.18710/BAX9N5, DataverseNO, V1 |
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Citation |
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Title: |
Supporting Data for: Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs |
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Subtitle: |
Sonic design with evolutionary algorithms |
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Identification Number: |
doi:10.18710/BAX9N5 |
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Authoring Entity: |
Jónsson, Björn Þór (University of Oslo) |
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Glette, Kyrre (University of Oslo) |
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Erdem, Çağrı (University of Oslo) |
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Fasciani, Stefano (University of Oslo) |
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Other identifications and acknowledgements: |
RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion |
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Producer: |
University of Oslo |
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Software used in Production: |
kromosynth-cli |
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Grant Number: |
262762 |
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Distributor: |
DataverseNO |
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Distributor: |
University of Oslo |
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Access Authority: |
Jónsson, Björn Þór |
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Depositor: |
Jónsson, Björn Þór |
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Date of Deposit: |
2023-11-07 |
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Holdings Information: |
https://doi.org/10.18710/BAX9N5 |
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Study Scope |
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Keywords: |
Arts and Humanities, Computer and Information Science, Sound Synthesis, Quality Diversity Search, Innovation Engines |
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Abstract: |
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. |
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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. |
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Date of Collection: |
2023-03-01-2023-10-31 |
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Kind of Data: |
Generation data, genomes and elite maps, from evolutionary simulations. |
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Kind of Data: |
Rendered sound objects from genomes discovered during evolutionary simulations. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
B. T. Jónsson, C. Erdem, S. Fasciani, and K. Glette, “Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs,” in Artificial Intelligence in Music, Sound, Art and Design, vol. 14633, C. Johnson, S. M. Rebelo, and I. Santos, Eds., in Lecture Notes in Computer Science, vol. 14633. , Cham: Springer Nature Switzerland, 2024, pp. 211–227. doi: 10.1007/978-3-031-56992-0_14. |
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Identification Number: |
10.1007/978-3-031-56992-0_14 |
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Bibliographic Citation: |
B. T. Jónsson, C. Erdem, S. Fasciani, and K. Glette, “Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs,” in Artificial Intelligence in Music, Sound, Art and Design, vol. 14633, C. Johnson, S. M. Rebelo, and I. Santos, Eds., in Lecture Notes in Computer Science, vol. 14633. , Cham: Springer Nature Switzerland, 2024, pp. 211–227. doi: 10.1007/978-3-031-56992-0_14. |
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