@inproceedings{polak-etal-2020-cuni,
    title = "{CUNI} Neural {ASR} with Phoneme-Level Intermediate Step for{\textasciitilde}{N}on-{N}ative{\textasciitilde}{SLT} at {IWSLT} 2020",
    author = "Pol{\'a}k, Peter  and
      Sagar, Sangeet  and
      Mach{\'a}{\v{c}}ek, Dominik  and
      Bojar, Ond{\v{r}}ej",
    editor = {Federico, Marcello  and
      Waibel, Alex  and
      Knight, Kevin  and
      Nakamura, Satoshi  and
      Ney, Hermann  and
      Niehues, Jan  and
      St{\"u}ker, Sebastian  and
      Wu, Dekai  and
      Mariani, Joseph  and
      Yvon, Francois},
    booktitle = "Proceedings of the 17th International Conference on Spoken Language Translation",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2020.iwslt-1.24/",
    doi = "10.18653/v1/2020.iwslt-1.24",
    pages = "191--199",
    abstract = "In this paper, we present our submission to the Non-Native Speech Translation Task for IWSLT 2020. Our main contribution is a proposed speech recognition pipeline that consists of an acoustic model and a phoneme-to-grapheme model. As an intermediate representation, we utilize phonemes. We demonstrate that the proposed pipeline surpasses commercially used automatic speech recognition (ASR) and submit it into the ASR track. We complement this ASR with off-the-shelf MT systems to take part also in the speech translation track."
}