562 citations · 795 across the 36 of their papers we have counts for
5 papers · 1 filter
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…
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…
Independent Vector Analysis via Log-Quadratically Penalized Quadratic Minimization
Robin Scheibler
We propose a new algorithm for blind source separation (BSS) using independent vector analysis (IVA). This is an improvement over the popular auxiliary function based IVA (AuxIVA)…
A study on more realistic room simulation for far-field keyword spotting
Eric Bezzam, Robin Scheibler, Cyril Cadoux +1
We investigate the impact of more realistic room simulation for training far-field keyword spotting systems without fine-tuning on in-domain data. To this end, we study the impact…
MM Algorithms for Joint Independent Subspace Analysis with Application to Blind Single and Multi-Source Extraction
Robin Scheibler, Nobutaka Ono
In this work, we propose efficient algorithms for joint independent subspace analysis (JISA), an extension of independent component analysis that deals with parallel mixtures, wher…