Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Novotny Ondrej"'
Autor:
Novotny Ondrej, Strakos Libor, Patocka Marek, Schanilec Vojtech, Hegrova Veronika, Celano Umberto, Vystavel Tomas, Neuman Jan
Publikováno v:
BIO Web of Conferences, Vol 129, p 24023 (2024)
Externí odkaz:
https://doaj.org/article/9578e32305dc48b6ba84b85bac9f7fd9
Autor:
Bhandari, Nishchal, Chen, Danny, Fernández, Miguel Ángel del Río, Delworth, Natalie, Fox, Jennifer Drexler, Jetté, Migüel, McNamara, Quinten, Miller, Corey, Novotný, Ondřej, Profant, Ján, Qin, Nan, Ratajczak, Martin, Robichaud, Jean-Philippe
Today, we are open-sourcing our core speech recognition and diarization models for non-commercial use. We are releasing both a full production pipeline for developers as well as pared-down research models for experimentation. Rev hopes that these rel
Externí odkaz:
http://arxiv.org/abs/2410.03930
Autor:
Szoke, Igor, Kesiraju, Santosh, Novotny, Ondrej, Kocour, Martin, Vesely, Karel, Cernocky, Jan "Honza"
We launched a community platform for collecting the ATC speech world-wide in the ATCO2 project. Filtering out unseen non-English speech is one of the main components in the data processing pipeline. The proposed English Language Detection (ELD) syste
Externí odkaz:
http://arxiv.org/abs/2104.02332
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
Akademický článek
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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
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 work, we continue in our research on i-vector extractor for speaker verification (SV) and we optimize its architecture for fast and effective discriminative training. We were motivated by computational and memory requirements caused by the la
Externí odkaz:
http://arxiv.org/abs/1904.04235
Autor:
Valtr, Miroslav, Klapetek, Petr, Martinek, Jan, Novotný, Ondřej, Jelínek, Zdeněk, Hortvík, Václav, Nečas, David
Publikováno v:
In HardwareX July 2023
Akademický článek
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