2023
DOI: 10.1186/s13636-023-00288-5
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Variational Autoencoders for chord sequence generation conditioned on Western harmonic music complexity

Abstract: In recent years, the adoption of deep learning techniques has allowed to obtain major breakthroughs in the automatic music generation research field, sparking a renewed interest in generative music. A great deal of work has focused on the possibility of conditioning the generation process in order to be able to create music according to human-understandable parameters. In this paper, we propose a technique for generating chord progressions conditioned on harmonic complexity, as grounded in the Western music th… Show more

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Cited by 3 publications
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“…Comanducci et al [7] focus lies on the utilization of transcriptomic data for biomarker gene research in various diseases and biological states. The primary objectives include data harmonization and treatment outcome prediction, both addressed through a style transfer approach.…”
Section: Current Trends and Challengesmentioning
confidence: 99%
“…Comanducci et al [7] focus lies on the utilization of transcriptomic data for biomarker gene research in various diseases and biological states. The primary objectives include data harmonization and treatment outcome prediction, both addressed through a style transfer approach.…”
Section: Current Trends and Challengesmentioning
confidence: 99%