@inproceedings{hrinchuk-etal-2023-nvidia,
    title = "{NVIDIA} {N}e{M}o Offline Speech Translation Systems for {IWSLT} 2023",
    author = "Hrinchuk, Oleksii  and
      Bataev, Vladimir  and
      Bakhturina, Evelina  and
      Ginsburg, Boris",
    editor = "Salesky, Elizabeth  and
      Federico, Marcello  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada (in-person and online)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.iwslt-1.42",
    doi = "10.18653/v1/2023.iwslt-1.42",
    pages = "442--448",
    abstract = "This paper provides an overview of NVIDIA NeMo{'}s speech translation systems for the IWSLT 2023 Offline Speech Translation Task. This year, we focused on end-to-end system which capitalizes on pre-trained models and synthetic data to mitigate the problem of direct speech translation data scarcity. When trained on IWSLT 2022 constrained data, our best En-{\textgreater}De end-to-end model achieves the average score of 31 BLEU on 7 test sets from IWSLT 2010-2020 which improves over our last year cascade (28.4) and end-to-end (25.7) submissions. When trained on IWSLT 2023 constrained data, the average score drops to 29.5 BLEU.",
}

This paper provides an overview of NVIDIA NeMo{'}s speech translation systems for the IWSLT 2023 Offline Speech Translation Task. This year, we focused on end-to-end system which capitalizes on pre-trained models and synthetic data to mitigate the problem of direct speech translation data scarcity. When trained on IWSLT 2022 constrained data, our best En-{\textgreater}De end-to-end model achieves the average score of 31 BLEU on 7 test sets from IWSLT 2010-2020 which improves over our last year cascade (28.4) and end-to-end (25.7) submissions. When trained on IWSLT 2023 constrained data, the average score drops to 29.5 BLEU.
Hrinchuk, Oleksii Bataev, Vladimir Bakhturina, Evelina Ginsburg, Boris
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2023