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Aashish Agarwal
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2020 – today
- 2023
- [i3]Belen Alastruey, Matthias Sperber, Christian Gollan, Dominic Telaar, Tim Ng, Aashish Agarwal:
Towards Real-World Streaming Speech Translation for Code-Switched Speech. CoRR abs/2310.12648 (2023) - 2021
- [c4]Yuriy Arabskyy, Aashish Agarwal, Subhadeep Dey, Oscar Koller:
Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021 (short paper). SwissText 2021 - [i2]Aashish Agarwal, Torsten Zesch:
Robustness of end-to-end Automatic Speech Recognition Models - A Case Study using Mozilla DeepSpeech. CoRR abs/2105.09742 (2021) - [i1]Yuriy Arabskyy, Aashish Agarwal, Subhadeep Dey, Oscar Koller:
Dialectal Speech Recognition and Translation of Swiss German Speech to Standard German Text: Microsoft's Submission to SwissText 2021. CoRR abs/2106.08126 (2021) - 2020
- [c3]Aashish Agarwal, Torsten Zesch:
LTL-UDE at Low-Resource Speech-to-Text Shared Task: Investigating Mozilla DeepSpeech in a low-resource setting. SwissText/KONVENS 2020
2010 – 2019
- 2019
- [c2]Aashish Agarwal, Torsten Zesch:
German End-to-end Speech Recognition based on DeepSpeech. KONVENS 2019 - [c1]Aashish Agarwal, Ankita Mandal, Matthias Schaffeld, Fangzheng Ji, Jhiao Zhan, Yiqi Sun, Ahmet Aker:
Good , Neutral or Bad - News Classification. NewsIR@SIGIR 2019: 9-14
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last updated on 2024-04-25 05:51 CEST by the dblp team
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