40 citations · 77 across the 6 of their papers we have counts for
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stat.ML2018
Fast variational Bayes for heavy-tailed PLDA applied to i-vectors and x-vectors
Anna Silnova, Niko Brummer, Daniel Garcia-Romero +2
The standard state-of-the-art backend for text-independent speaker recognizers that use i-vectors or x-vectors, is Gaussian PLDA (G-PLDA), assisted by a Gaussianization step involv…
stat.ML2013
Generative Modelling for Unsupervised Score Calibration
Niko Brümmer, Daniel Garcia-Romero
Score calibration enables automatic speaker recognizers to make cost-effective accept / reject decisions. Traditional calibration requires supervised data, which is an expensive re…