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20172023
most citedBUT System Description for DIHARD Speech Diarization Challenge 2019

19 citations · 20 across the 4 of their papers we have counts for

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eess.AS2023

Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization

Marc Delcroix, Naohiro Tawara, Mireia Diez +6

Combining end-to-end neural speaker diarization (EEND) with vector clustering (VC), known as EEND-VC, has gained interest for leveraging the strengths of both methods. EEND-VC esti…

eess.AS20201 cited

Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks

Federico Landini, Ján Profant, Mireia Diez +1

The recently proposed VBx diarization method uses a Bayesian hidden Markov model to find speaker clusters in a sequence of x-vectors. In this work we perform an extensive compariso…

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

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…

eess.AS201919 cited

BUT System Description for DIHARD Speech Diarization Challenge 2019

Federico Landini, Shuai Wang, Mireia Diez +8

This paper describes the 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 based on perfo…

eess.AS2017

End-to-end DNN Based Speaker Recognition Inspired by i-vector and PLDA

Johan Rohdin, Anna Silnova, Mireia Diez +3

Recently several end-to-end speaker verification systems based on deep neural networks (DNNs) have been proposed. These systems have been proven to be competitive for text-dependen…