ReMi: A Random Recurrent Neural Network Approach to Music Production

• URL: http://arxiv.org/abs/2505.17023v2
• Date: Tue, 22 Jul 2025 15:56:12 GMT
• Title: ReMi: A Random Recurrent Neural Network Approach to Music Production
• Authors: Hugo Chateau-Laurent, Tara Vanhatalo, Wei-Tung Pan, Xavier Hinaut,
• Abstract summary: Generative artificial intelligence raises concerns related to energy consumption, copyright infringement and creative atrophy.<n>In contrast to end-to-end music generation that aims to replace musicians, our approach expands their creativity while requiring no data and much less computational power.
• Score: 1.6874375111244329
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Generative artificial intelligence raises concerns related to energy consumption, copyright infringement and creative atrophy. We show that randomly initialized recurrent neural networks can produce arpeggios and low-frequency oscillations that are rich and configurable. In contrast to end-to-end music generation that aims to replace musicians, our approach expands their creativity while requiring no data and much less computational power. More information can be found at: https://allendia.com/

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