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Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries
November 28, 2022 Β· Declared Dead Β· π European Signal Processing Conference
"No code URL or promise found in abstract"
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Authors
LukΓ‘Ε‘ Samuel MartΓ‘k, Rainer Kelz, Gerhard Widmer
arXiv ID
2211.15439
Category
eess.AS: Audio & Speech
Cross-listed
cs.LG,
cs.SD
Citations
2
Venue
European Signal Processing Conference
Last Checked
3 months ago
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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