2022.iwslt-1.25@ACL

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

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.

Subject: IWSLT.2022

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