Distribution Preserving Source Separation With Time Frequency Predictive Models
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Abstract (arXiv)
We provide an example of a distribution preserving source separation method, which aims at addressing perceptual shortcomings of state-of-the-art methods. Our approach uses unconditioned generative models of signal sources. Reconstruction is achieved by means of mix-consistent sampling from a distribution conditioned on a realization of a mix. The separated signals follow their respective source distributions, which provides an advantage when separation results are evaluated in a listening test.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 21 of its 29 references that are in the map. First posted on arXiv 10 Mar 2023.
Builds on
21 of 29 references.
References · 21
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9 more
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Citing papers per year: 2024: 1.
1 paper.
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