Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 12th International C Colin Johnson,Nereida Rodríguez-Fernández,Sérgio M Conference

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Extending Generative Neo-Riemannian Theory for Event-Based Soundtrack Production-Riemannian Theory (NRT), an analytical approach to describing chromatic chord progressions. We describe the implementation of GENRT in terms of a generative NRT formalism, which produces suitable chord sequences to fit the timing and atmosphere requirements of the media. We provide an illustrative

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Is Beauty in the Age of the Beholder?ant where higher levels of symmetry are preferred in the judgement of faces and even the initial state of the universe is thought to have been in pure symmetry. The same is true in the judgement of auto-generated art, with symmetry often used alongside complexity to generate aesthetically pleasing i

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Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audiomusic transcription and recommendation, organization of large music collections, or analysis of historical trends and properties of musical styles. Recently, the classification performance could be improved by the integration of deep convolutional neural networks. However, in to date published studi

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SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencodersng a conditional masking variable, as well as using this mask information to modulate losses during training based on expected exemplar difficulty, SUNMASK models discrete sequences without direct ordering assumptions. The addition of masking terms allows for fine-grained control during generation,

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Towards the Evolution of Prompts with MetaPrompterld. The quality of the images greatly depends on the prompt used, .  a phrase that includes descriptive terms to be used as input on text-to-image model. However, choosing the right prompt is a complex task, often relying on a trial-and-error approach. In this paper, we introduce an evolutionary app

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