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

79 citations · 82 across the 3 of their papers we have counts for

collaborators

8 papers

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

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.AS201979 cited

BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

Hossein Zeinali, Shuai Wang, Anna Silnova +2

In this report, we describe the submission of Brno University of Technology (BUT) team to the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2019. We also provide a brief analysis…

eess.AS20192 cited

BUT VOiCES 2019 System Description

Hossein Zeinali, Pavel Matějka, Ladislav Mošner +6

This is a description of our effort in VOiCES 2019 Speaker Recognition challenge. All systems in the fixed condition are based on the x-vector paradigm with different features and…

eess.AS2018

On the use of DNN Autoencoder for Robust Speaker Recognition

Ondrej Novotny, Oldrich Plchot, Pavel Matejka +1

In this paper, we present an analysis of a DNN-based autoencoder for speech enhancement, dereverberation and denoising. The target application is a robust speaker recognition syste…