@inproceedings{singh-anand-etal-2024-empowering,
    title = "Empowering Low-Resource Language Translation: Methodologies for {B}hojpuri-{H}indi and {M}arathi-{H}indi {ASR} and {MT}",
    author = "Singh Anand, Harpreet  and
      Ratna Dash, Amulya  and
      Sharma, Yashvardhan",
    editor = "Salesky, Elizabeth  and
      Federico, Marcello  and
      Carpuat, Marine",
    booktitle = "Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand (in-person and online)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2024.iwslt-1.28/",
    doi = "10.18653/v1/2024.iwslt-1.28",
    pages = "229--234",
    abstract = "The paper describes our submission for the unconstrained track of `Dialectal and Low-Resource Task' proposed in IWSLT-2024. We designed cascaded Speech Translation systems for the language pairs Marathi-Hindi and Bhojpuri-Hindi utilising and fine-tuning different pre-trained models for carrying out Automatic Speech Recognition (ASR) and Machine Translation (MT)."
}