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arXiv · 2505.17023

ReMi: A Random Recurrent Neural Network Approach to Music Production

Hugo Chateau-Laurent·Tara Vanhatalo·Wei-Tung Pan·Xavier Hinaut
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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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Hugo Chateau-Laurent, Tara Vanhatalo, Wei-Tung Pan, Xavier Hinaut. 2025-04-02. ReMi: A Random Recurrent Neural Network Approach to Music Production. https://arxiv.org/abs/2505.17023

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