@inproceedings{agarwal-zesch-2021-robustness,
title = "Robustness of end-to-end Automatic Speech Recognition Models {--} A Case Study using Mozilla {D}eep{S}peech",
author = "Agarwal, Aashish and
Zesch, Torsten",
editor = "Evang, Kilian and
Kallmeyer, Laura and
Osswald, Rainer and
Waszczuk, Jakub and
Zesch, Torsten",
booktitle = "Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)",
month = "6--9 " # sep,
year = "2021",
address = {D{\"u}sseldorf, Germany},
publisher = "KONVENS 2021 Organizers",
url = "https://aclanthology.org/2021.konvens-1.18",
pages = "203--207",
}
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%0 Conference Proceedings
%T Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech
%A Agarwal, Aashish
%A Zesch, Torsten
%Y Evang, Kilian
%Y Kallmeyer, Laura
%Y Osswald, Rainer
%Y Waszczuk, Jakub
%Y Zesch, Torsten
%S Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021)
%D 2021
%8 6–9 sep
%I KONVENS 2021 Organizers
%C Düsseldorf, Germany
%F agarwal-zesch-2021-robustness
%U https://aclanthology.org/2021.konvens-1.18
%P 203-207
Markdown (Informal)
[Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech](https://aclanthology.org/2021.konvens-1.18) (Agarwal & Zesch, KONVENS 2021)
ACL