2022.iwslt-1.25@ACL

#1 NAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022 [PDF] [Copy] [Kimi¹]

Authors: Ryo Fukuda ; Yuka Ko ; Yasumasa Kano ; Kosuke Doi ; Hirotaka Tokuyama ; Sakriani Sakti ; Katsuhito Sudoh ; Satoshi Nakamura

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.