@inproceedings{hazim-al-farouq-etal-2025-bemba,
    title = "{B}emba Speech Translation: Exploring a Low-Resource {A}frican Language",
    author = "Hazim Al Farouq, Muhammad  and
      Kassahun Wassie, Aman  and
      Moslem, Yasmin",
    editor = "Salesky, Elizabeth  and
      Federico, Marcello  and
      Anastasopoulos, Antonis",
    booktitle = "Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)",
    month = jul,
    year = "2025",
    address = "Vienna, Austria (in-person and online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/acl25-workshop-ingestion/2025.iwslt-1.37/",
    pages = "354--359",
    ISBN = "979-8-89176-272-5",
    abstract = "This paper describes our system submission to the International Conference on Spoken Language Translation (IWSLT 2025), low-resource languages track, namely for Bemba-to-English speech translation. We built cascaded speech translation systems based on Whisper and NLLB-200, and employed data augmentation techniques, such as back-translation. We investigate the effect of using synthetic data and discuss our experimental setup."
}