| German End-to-end Speech Recognition based on DeepSpeech. A Agarwal, T Zesch KONVENS, 2019 | 47 | 2019 |
| Inhibition of negative differential resistance in modulation-doped -type quantum wells Y Sun, MP Vaughan, A Agarwal, M Yilmaz, B Ulug, A Ulug, N Balkan, ... Physical Review B 75 (20), 205316, 2007 | 16 | 2007 |
| LTL-UDE at Low-Resource Speech-to-Text Shared Task: Investigating Mozilla DeepSpeech in a low-resource setting. A Agarwal, T Zesch SwissText/KONVENS 31, 40-47, 2020 | 8 | 2020 |
| Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021 Y Arabskyy, A Agarwal, S Dey, O Koller arXiv preprint arXiv:2106.08126, 2021 | 6 | 2021 |
| The Subarachnoid Hemorrhage–Weather Myth: A Long-Term Big Data and Deep Learning Analysis M Helsper, A Agarwal, A Aker, A Herten, M Darkwah-Oppong, ... Frontiers in Neurology 12, 653483, 2021 | 3 | 2021 |
| Good, Neutral or Bad-News Classification. A Agarwal, A Mandal, M Schaffeld, F Ji, J Zhan, Y Sun, A Aker NewsIR@ SIGIR, 9-14, 2019 | 3 | 2019 |
| Towards Real-World Streaming Speech Translation for Code-Switched Speech B Alastruey, M Sperber, C Gollan, D Telaar, T Ng, A Agargwal arXiv preprint arXiv:2310.12648, 2023 | | 2023 |
| Robustness of end-to-end Automatic Speech Recognition Models--A Case Study using Mozilla DeepSpeech A Agarwal, T Zesch arXiv preprint arXiv:2105.09742, 2021 | | 2021 |
Torsten ZeschProfessor of Computational Linguistics, Fernuniversität in HagenVerified email at fernuni-hagen.de
