@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://preview.aclanthology.org/fix-sig-urls/2021.konvens-1.18/",
pages = "203--207"
}
Markdown (Informal)
[Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech](https://preview.aclanthology.org/fix-sig-urls/2021.konvens-1.18/) (Agarwal & Zesch, KONVENS 2021)
ACL