CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022
Peter Polák, Ngoc-Quan Pham, Tuan Nam Nguyen, Danni Liu, Carlos Mullov, Jan Niehues, Ondřej Bojar, Alexander Waibel
Abstract
In this paper, we describe our submission to the Simultaneous Speech Translation at IWSLT 2022. We explore strategies to utilize an offline model in a simultaneous setting without the need to modify the original model. In our experiments, we show that our onlinization algorithm is almost on par with the offline setting while being 3x faster than offline in terms of latency on the test set. We also show that the onlinized offline model outperforms the best IWSLT2021 simultaneous system in medium and high latency regimes and is almost on par in the low latency regime. We make our system publicly available.- Anthology ID:
- 2022.iwslt-1.24
- Volume:
- Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland (in-person and online)
- Editors:
- Elizabeth Salesky, Marcello Federico, Marta Costa-jussà
- Venue:
- IWSLT
- SIG:
- SIGSLT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 277–285
- Language:
- URL:
- https://aclanthology.org/2022.iwslt-1.24
- DOI:
- 10.18653/v1/2022.iwslt-1.24
- Cite (ACL):
- Peter Polák, Ngoc-Quan Pham, Tuan Nam Nguyen, Danni Liu, Carlos Mullov, Jan Niehues, Ondřej Bojar, and Alexander Waibel. 2022. CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022. In Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022), pages 277–285, Dublin, Ireland (in-person and online). Association for Computational Linguistics.
- Cite (Informal):
- CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022 (Polák et al., IWSLT 2022)
- PDF:
- https://preview.aclanthology.org/landing_page/2022.iwslt-1.24.pdf