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%0 Conference Proceedings
%T Towards Efficient Simultaneous Speech Translation: CUNI-KIT System for Simultaneous Track at IWSLT 2023
%A Polák, Peter
%A Liu, Danni
%A Pham, Ngoc-Quan
%A Niehues, Jan
%A Waibel, Alexander
%A Bojar, Ondřej
%Y Salesky, Elizabeth
%Y Federico, Marcello
%Y Carpuat, Marine
%S Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada (in-person and online)
%F polak-etal-2023-towards
%X In this paper, we describe our submission to the Simultaneous Track at IWSLT 2023. This year, we continue with the successful setup from the last year, however, we adopt the latest methods that further improve the translation quality. Additionally, we propose a novel online policy for attentional encoder-decoder models. The policy prevents the model to generate translation beyond the current speech input by using an auxiliary CTC output layer. We show that the proposed simultaneous policy can be applied to both streaming blockwise models and offline encoder-decoder models. We observe significant improvements in quality (up to 1.1 BLEU) and the computational footprint (up to 45% relative RTF).
%R 10.18653/v1/2023.iwslt-1.37
%U https://aclanthology.org/2023.iwslt-1.37
%U https://doi.org/10.18653/v1/2023.iwslt-1.37
%P 389-396

Markdown (Informal)

[Towards Efficient Simultaneous Speech Translation: CUNI-KIT System for Simultaneous Track at IWSLT 2023](https://aclanthology.org/2023.iwslt-1.37) (Polák et al., IWSLT 2023)

• Towards Efficient Simultaneous Speech Translation: CUNI-KIT System for Simultaneous Track at IWSLT 2023 (Polák et al., IWSLT 2023)

ACL

• Peter Polák, Danni Liu, Ngoc-Quan Pham, Jan Niehues, Alexander Waibel, and Ondřej Bojar. 2023. Towards Efficient Simultaneous Speech Translation: CUNI-KIT System for Simultaneous Track at IWSLT 2023. In Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023), pages 389–396, Toronto, Canada (in-person and online). Association for Computational Linguistics.