activity
20172022
most citedBUT System Description to VoxCeleb Speaker Recognition Challenge 2019

79 citations · 82 across the 5 of their papers we have counts for

collaborators

12 papers

cs.SD2022

Toroidal Probabilistic Spherical Discriminant Analysis

Anna Silnova, Niko Brümmer, Albert Swart +1

In speaker recognition, where speech segments are mapped to embeddings on the unit hypersphere, two scoring back-ends are commonly used, namely cosine scoring and PLDA. We have rec…

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.AS20221 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…

eess.AS2020

Analysis of the BUT Diarization System for VoxConverse Challenge

Federico Landini, Ondřej Glembek, Pavel Matějka +4

This paper describes the system developed by the BUT team for the fourth track of the VoxCeleb Speaker Recognition Challenge, focusing on diarization on the VoxConverse dataset. Th…

eess.AS2020

Probabilistic embeddings for speaker diarization

Anna Silnova, Niko Brümmer, Johan Rohdin +2

Speaker embeddings (x-vectors) extracted from very short segments of speech have recently been shown to give competitive performance in speaker diarization. We generalize this reci…

eess.AS2020

BUT System for the Second DIHARD Speech Diarization Challenge

Federico Landini, Shuai Wang, Mireia Diez +9

This paper describes the winning systems developed by the BUT team for the four tracks of the Second DIHARD Speech Diarization Challenge. For tracks 1 and 2 the systems were mainly…