This study investigates symbolic music generation, specifically generating piano rolls, with a focus on non-differentiable rule guidance. The researchers propose a novel guidance method called Stochastic Control Guidance (SCG) that…
Continue readingThis article describes a new method for generating music symbolically, using a graph that represents the structure of a song and a Graph Neural Network. The graph uses information such…
Continue readingThe article discusses the use of Denoising Diffusion Probabilistic Models (DDPM) in the generation of symbolic music with desired composer styles. The authors propose the combination of a vector quantized…
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