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Separake: Source separation with a little help from echoes

Citation Author(s):
Robin Scheibler, Diego Di Carlo, Antoine Deleforge, Ivan Dokmanic
Submitted by:
ROBIN SCHEIBLER
Last updated:
22 April 2018 - 9:05pm
Document Type:
Presentation Slides
Document Year:
2018
Event:
Presenters Name:
Robin Scheibler
Paper Code:
3088

Abstract 

Abstract: 

It is commonly believed that multipath hurts various audio processing algorithms. At odds with this belief, we show that multipath in fact helps sound source separation, even with very simple propagation models. Unlike most existing methods, we neither ignore the room impulse responses, nor we attempt to estimate them fully. We rather assume to know the positions of a few virtual microphones generated by echoes and we show how this gives us enough spatial diversity to get a performance boost over the anechoic case. We show improvements for two standard algorithms—one that uses only magnitudes of the transfer functions, and one that also uses the phases. Concretely, we show that multi-channel non-negative matrix factorization aided with a small number of echoes beats the vanilla variant of the same algorithm, and that with magnitude information only, echoes enable separation where it was previously impossible.

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Dataset Files

separake_icassp2018_slides.pdf

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