@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://aclanthology.org/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.",
}
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%0 Conference Proceedings
%T CUNI Neural ASR with Phoneme-Level Intermediate Step for~Non-Native~SLT at IWSLT 2020
%A Polák, Peter
%A Sagar, Sangeet
%A Macháček, Dominik
%A Bojar, Ondřej
%Y Federico, Marcello
%Y Waibel, Alex
%Y Knight, Kevin
%Y Nakamura, Satoshi
%Y Ney, Hermann
%Y Niehues, Jan
%Y Stüker, Sebastian
%Y Wu, Dekai
%Y Mariani, Joseph
%Y Yvon, Francois
%S Proceedings of the 17th International Conference on Spoken Language Translation
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F polak-etal-2020-cuni
%X 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.
%R 10.18653/v1/2020.iwslt-1.24
%U https://aclanthology.org/2020.iwslt-1.24
%U https://doi.org/10.18653/v1/2020.iwslt-1.24
%P 191-199
Markdown (Informal)
[CUNI Neural ASR with Phoneme-Level Intermediate Step for~Non-Native~SLT at IWSLT 2020](https://aclanthology.org/2020.iwslt-1.24) (Polák et al., IWSLT 2020)
ACL