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

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 riginal 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 make our system publicly available.

Keywords

• cuni
• system
• simultaneous
• speech
• translation
• task
• iwslt
• 2022