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Exploring pre-service music teachers' acceptance of generative artificial intelligence: a PLS-SEM-ANN approach. [PDF]
Front PsycholIntroductionBased on the extended Unified Theory of Acceptance and Use of Technology Model 2 (UTAUT2), explores the intention to accept Generative Artificial Intelligence (Generative AI) technology in teaching and its influencing factors among pre ...
He S, Ren Y.
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Random rotational embedding Bayesian optimization for human-in-the-loop personalized music generation. [PDF]
PLoS OneGenerative deep learning models, such as those used for music generation, can produce a wide variety of results based on perturbations of random points in their latent space.
Marcos M +2 more
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Fully Automated Luxury Composition [PDF]
IASPM Journal, 2017 This practice-based research attempts to answer the question of how utopian thinking might be applied to popular music composition. It begins by looking at automation, utopia and the utopian impulse and how they compliment as well as conflict with ...
Paul Wolinski
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Idiosyncratic Audio Feedback Networks for Music Creation
Revista Vortex, 2022 This article presents practical and artistic contributions to the field of computer music systems based on audio feedback networks. The ideas that oriented the conception of two digital music instruments and examples of their use in the author's music ...
Adriano Claro Monteiro
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Generative Music with Partitioned Quantum Cellular Automata
Applied Sciences, 2023 Cellular automata (CA) are abstract computational models of dynamic systems that change some features with space and time. Music is the art of organising sounds in space and time, and it can be modelled as a dynamic system.
Eduardo Reck Miranda, Hari Shaji
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INCO-GAN: Variable-Length Music Generation Method Based on Inception Model-Based Conditional GAN
Mathematics, 2021 Deep learning has made significant progress in the field of automatic music generation. At present, the research on music generation via deep learning can be divided into two categories: predictive models and generative models.
Shuyu Li, Yunsick Sung
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Generalized Wideband Cyclic MUSIC [PDF]
EURASIP Journal on Advances in Signal Processing, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang-Meng Liu +2 more
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Dynamic cluster structure and predictive modelling of music creation style distributions
Royal Society Open Science, 2022 We investigate the dynamics of music creation style distributions to understand cultural evolution involving intelligence to create complex artefacts.
Rajsuryan Singh, Eita Nakamura
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SSRN Electronic Journal, 2020 Recent advancements in neural networks have helped algorithms to generate musical sound that is comparable to sounds composed by humans. In this project, polyphonic music is generated using Deep Learning neural network. Unlike generating images and videos, generating music is a bit different; generating music is time dependent.
Vineet Tiwari +2 more
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Creativity in Generative Musical Networks: Evidence From Two Case Studies
Frontiers in Robotics and AI, 2021 Deep learning, one of the fastest-growing branches of artificial intelligence, has become one of the most relevant research and development areas of the last years, especially since 2012, when a neural network surpassed the most advanced image ...
Rodrigo F. Cádiz +4 more
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