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Deep Music Information Dynamics
2020
Zenodo
Music comprises of a set of complex simultaneous events organized in time. In this paper we introduce a novel framework that we call Deep Musical Information Dynamics, which combines two parallel streams - a low rate latent representation stream that is assumed to capture the dynamics of a thought process contrasted with a higher rate information dynamics derived from the musical data itself. Motivated by rate-distortion theories of human cognition we propose a framework for exploring possible
doi:10.5281/zenodo.4285399
fatcat:no2uzzhj2fdhnlwtpbiszg4vli