562 citations · 795 across the 36 of their papers we have counts for
Showing 2020 · eess.ASShow all
2 papers · 2 filters
eess.AS2020
Surrogate Source Model Learning for Determined Source Separation
Robin Scheibler, Masahito Togami
We propose to learn surrogate functions of universal speech priors for determined blind speech separation. Deep speech priors are highly desirable due to their high modelling power…
eess.AS2020
Generalized Minimal Distortion Principle for Blind Source Separation
Robin Scheibler
We revisit the source image estimation problem from blind source separation (BSS). We generalize the traditional minimum distortion principle to maximum likelihood estimation with…