44 citations · 100 across the 34 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.ML2018
Gaussian meta-embeddings for efficient scoring of a heavy-tailed PLDA model
Niko Brummer, Anna Silnova, Lukas Burget +1
Embeddings in machine learning are low-dimensional representations of complex input patterns, with the property that simple geometric operations like Euclidean distances and dot pr…