CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022

P. Polák*, N.Q. Pham, T.N. Nguyen, D.N. Liu, C. Mullov, J. Niehues, O. Bojar, A. Waibel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)
PublisherAssociation for Computational Linguistics
Number of pages9
ISBN (Print)9781955917414
Publication statusPublished - May 2022
EventThe International Conference on Spoken Language Translation - Dublin, Ireland
Duration: 26 May 202227 May 2022


ConferenceThe International Conference on Spoken Language Translation
Abbreviated title19th IWSLT
Internet address

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