ReMi: A Random Recurrent Neural Network Approach to Music Production

W e 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/ 1. INTRODUCTION Artificial intelligence continues to drive significant changes in music production. However, current methods often require vast amounts of high-quality data, which are not always readily available.