arXiv · 2211.15439
Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries
Abstract
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.
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Lukáš Samuel Marták, Rainer Kelz, Gerhard Widmer. 2022-11-28. Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries. https://doi.org/10.23919/eusipco54536.2021.9616145
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