79 citations · 82 across the 9 of their papers we have counts for
3 papers · 1 filter
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings
Niko Brümmer, Albert Swart, Ladislav Mošner +4
In speaker recognition, where speech segments are mapped to embeddings on the unit hypersphere, two scoring backends are commonly used, namely cosine scoring or PLDA. Both have adv…
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…
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…