Zobrazeno 1 - 10
of 186
pro vyhledávání: '"Matejka, Pavel"'
Autor:
Silnova, Anna, Stafylakis, Themos, Mosner, Ladislav, Plchot, Oldrich, Rohdin, Johan, Matejka, Pavel, Burget, Lukas, Glembek, Ondrej, Brummer, Niko
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 ResNet-based speaker embedding architectures and show that reduced tempo
Externí odkaz:
http://arxiv.org/abs/2203.10300
Autor:
Kral, Martin, Dendisova, Marcela, Svoboda, Jan, Cernescu, Adrian, Svecova, Marie, Johnson, C. Magnus, Pop-Georgievski, Ognen, Matejka, Pavel
Publikováno v:
In Colloids and Surfaces B: Biointerfaces March 2024 235
Autor:
Landini, Federico, Glembek, Ondřej, Matějka, Pavel, Rohdin, Johan, Burget, Lukáš, Diez, Mireia, Silnova, Anna
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. The system consists of signal pre-processing, voice activity detection,
Externí odkaz:
http://arxiv.org/abs/2010.11718
Autor:
Landini, Federico, Wang, Shuai, Diez, Mireia, Burget, Lukáš, Matějka, Pavel, Žmolíková, Kateřina, Mošner, Ladislav, Silnova, Anna, Plchot, Oldřich, Novotný, Ondřej, Zeinali, Hossein, Rohdin, Johan
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 based on performing agglomerative hierarchical clustering (AHC) of x-
Externí odkaz:
http://arxiv.org/abs/2002.11356
Autor:
Landini, Federico, Wang, Shuai, Diez, Mireia, Burget, Lukáš, Matějka, Pavel, Žmolíková, Kateřina, Mošner, Ladislav, Plchot, Oldřich, Novotný, Ondřej, Zeinali, Hossein, Rohdin, Johan
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 performing agglomerative hierarchical clustering (AHC) over x-vectors, foll
Externí odkaz:
http://arxiv.org/abs/1910.08847
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 of different systems on VoxCeleb-1 test sets. Submitted systems for b
Externí odkaz:
http://arxiv.org/abs/1910.12592
Autor:
Zeinali, Hossein, Matějka, Pavel, Mošner, Ladislav, Plchot, Oldřich, Silnova, Anna, Novotný, Ondřej, Profant, Ján, Glembek, Ondřej, Burget, Lukáš
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 DNN topologies. The single best system reaches 1.2% EER and a fusion o
Externí odkaz:
http://arxiv.org/abs/1907.06112
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 system. We started with augmenting the Fisher database with artificially no
Externí odkaz:
http://arxiv.org/abs/1811.02938
Publikováno v:
In Colloids and Surfaces B: Biointerfaces January 2023 221
In this work we revisit discriminative training of the i-vector extractor component in the standard speaker verification (SV) system. The motivation of our research lies in the robustness and stability of this large generative model, which we want to
Externí odkaz:
http://arxiv.org/abs/1810.13183