@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.",
}