Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries

11/28/2022

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by   Lukas Samuel Martak, et al.

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We introduce a novel way to incorporate prior information into (semi-) supervised non-negative matrix factorization, which we call differentiable dictionary search. It enables general, highly flexible and principled modelling of mixtures where non-linear sources are linearly mixed. We study its behavior on an audio decomposition task, and conduct an extensive, highly controlled study of its modelling capabilities.