Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 13th International C Colin Johnson,Sérgio M. Rebelo,Iria Santos Conference proceed

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Walter Kr?mer,Katharina Schüllerombination of Compositional Pattern Producing Network (CPPN) + Digital Signal Processing (DSP) graphs coupled with Multi-dimensional Archive of Phenotypic Elites (MAP-Elites) and a deep learning classifier can generate a substantial variety of synthetic sounds. The study concludes by presenting the

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https://doi.org/10.1007/978-3-322-80046-6and respond to user needs effectively..The successful application of neuroevolution methods underscores their utility in creating natural, intuitive, and personalized interfaces. The study illustrates the potential of such approaches to revolutionize human-computer interaction by allowing organic an

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Faszination Wolfsburg 1938-2012t their feelings and thoughts. An experiment, involving 14 participants, demonstrated comparable content and audio quality as traditional methods. Participants perceived the system as more personalized, expressing a preference for tailored meditation practices and indicating potential for increased

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Artificial Intelligence in Music, Sound, Art and Design13th International C

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The Forest: Towards Emergent Collaborative Art Through Human Swarming, The pillars are designed to invoke reaction from participants through function and visual aesthetic, and act as a mediator for human-human collaboration–whether direct or indirect–towards an evolving piece of art to be experienced as a whole. In this paper, we show two variations of the Forest each

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Evoboard: Geoboard-Inspired Evolved Typefonts, and requires many iterations until the final solution is achieved. Although a human expert is required to validate the final results, this task can be aided by automatic design software. We propose Evoboard, an automatic algorithm that evolves a typefont using a geoboard-inspired representation whe

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,Motifs, Phrases, and?Beyond: The?Modelling of?Structure in?Symbolic Music Generation,view dissects the evolution of techniques for incorporating coherent structure, from symbolic approaches to foundational and transformative deep learning methods that harness the power of computation and data across a wide variety of training paradigms. In the later stages, we review an emerging tec

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