5 citations · 6 across the 3 of their papers we have counts for
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stat.ML2022
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…
eess.AS2022★ 1 cited
Analyzing speaker verification embedding extractors and back-ends under language and channel mismatch
Anna Silnova, Themos Stafylakis, Ladislav Mosner +6
In this paper, we analyze the behavior and performance of speaker embeddings and the back-end scoring model under domain and language mismatch. We present our findings regarding Re…