@inproceedings{pham-etal-2019-iwslt,
title = "The {IWSLT} 2019 {KIT} Speech Translation System",
author = {Pham, Ngoc-Quan and
Nguyen, Thai-Son and
Ha, Thanh-Le and
Hussain, Juan and
Schneider, Felix and
Niehues, Jan and
St{\"u}ker, Sebastian and
Waibel, Alexander},
editor = {Niehues, Jan and
Cattoni, Rolando and
St{\"u}ker, Sebastian and
Negri, Matteo and
Turchi, Marco and
Ha, Thanh-Le and
Salesky, Elizabeth and
Sanabria, Ramon and
Barrault, Loic and
Specia, Lucia and
Federico, Marcello},
booktitle = "Proceedings of the 16th International Conference on Spoken Language Translation",
month = nov # " 2-3",
year = "2019",
address = "Hong Kong",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2019.iwslt-1.3",
abstract = "This paper describes KIT{'}s submission to the IWSLT 2019 Speech Translation task on two sub-tasks corresponding to two different datasets. We investigate different end-to-end architectures for the speech recognition module, including our new transformer-based architectures. Overall, our modules in the pipe-line are based on the transformer architecture which has recently achieved great results in various fields. In our systems, using transformer is also advantageous compared to traditional hybrid systems in term of simplicity while still having competent results.",
}
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%0 Conference Proceedings
%T The IWSLT 2019 KIT Speech Translation System
%A Pham, Ngoc-Quan
%A Nguyen, Thai-Son
%A Ha, Thanh-Le
%A Hussain, Juan
%A Schneider, Felix
%A Niehues, Jan
%A Stüker, Sebastian
%A Waibel, Alexander
%Y Niehues, Jan
%Y Cattoni, Rolando
%Y Stüker, Sebastian
%Y Negri, Matteo
%Y Turchi, Marco
%Y Ha, Thanh-Le
%Y Salesky, Elizabeth
%Y Sanabria, Ramon
%Y Barrault, Loic
%Y Specia, Lucia
%Y Federico, Marcello
%S Proceedings of the 16th International Conference on Spoken Language Translation
%D 2019
%8 nov 2 3
%I Association for Computational Linguistics
%C Hong Kong
%F pham-etal-2019-iwslt
%X This paper describes KIT’s submission to the IWSLT 2019 Speech Translation task on two sub-tasks corresponding to two different datasets. We investigate different end-to-end architectures for the speech recognition module, including our new transformer-based architectures. Overall, our modules in the pipe-line are based on the transformer architecture which has recently achieved great results in various fields. In our systems, using transformer is also advantageous compared to traditional hybrid systems in term of simplicity while still having competent results.
%U https://aclanthology.org/2019.iwslt-1.3
Markdown (Informal)
[The IWSLT 2019 KIT Speech Translation System](https://aclanthology.org/2019.iwslt-1.3) (Pham et al., IWSLT 2019)
ACL
- Ngoc-Quan Pham, Thai-Son Nguyen, Thanh-Le Ha, Juan Hussain, Felix Schneider, Jan Niehues, Sebastian Stüker, and Alexander Waibel. 2019. The IWSLT 2019 KIT Speech Translation System. In Proceedings of the 16th International Conference on Spoken Language Translation, Hong Kong. Association for Computational Linguistics.