%0 Conference Proceedings %T NAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022 %A Fukuda, Ryo %A Ko, Yuka %A Kano, Yasumasa %A Doi, Kosuke %A Tokuyama, Hirotaka %A Sakti, Sakriani %A Sudoh, Katsuhito %A Nakamura, Satoshi %Y Salesky, Elizabeth %Y Federico, Marcello %Y Costa-jussà, Marta %S Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022) %D 2022 %8 May %I Association for Computational Linguistics %C Dublin, Ireland (in-person and online) %F fukuda-etal-2022-naist %X This paper describes NAIST’s simultaneous speech translation systems developed for IWSLT 2022 Evaluation Campaign. We participated the speech-to-speech track for English-to-German and English-to-Japanese. Our primary submissions were end-to-end systems using adaptive segmentation policies based on Prefix Alignment. %R 10.18653/v1/2022.iwslt-1.25 %U https://aclanthology.org/2022.iwslt-1.25 %U https://doi.org/10.18653/v1/2022.iwslt-1.25 %P 286-292