@inproceedings{fukuda-etal-2022-naist,
title = "{NAIST} Simultaneous Speech-to-Text Translation System for {IWSLT} 2022",
author = "Fukuda, Ryo and
Ko, Yuka and
Kano, Yasumasa and
Doi, Kosuke and
Tokuyama, Hirotaka and
Sakti, Sakriani and
Sudoh, Katsuhito and
Nakamura, Satoshi",
editor = "Salesky, Elizabeth and
Federico, Marcello and
Costa-juss{\`a}, Marta",
booktitle = "Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)",
month = may,
year = "2022",
address = "Dublin, Ireland (in-person and online)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.iwslt-1.25",
doi = "10.18653/v1/2022.iwslt-1.25",
pages = "286--292",
abstract = "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.",
}
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<abstract>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.</abstract>
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%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
Markdown (Informal)
[NAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022](https://aclanthology.org/2022.iwslt-1.25) (Fukuda et al., IWSLT 2022)
ACL
- Ryo Fukuda, Yuka Ko, Yasumasa Kano, Kosuke Doi, Hirotaka Tokuyama, Sakriani Sakti, Katsuhito Sudoh, and Satoshi Nakamura. 2022. NAIST Simultaneous Speech-to-Text Translation System for IWSLT 2022. In Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022), pages 286–292, Dublin, Ireland (in-person and online). Association for Computational Linguistics.