Bemba Speech Translation: Exploring a Low-Resource African Language

Muhammad Hazim Al Farouq, Aman Kassahun Wassie, Yasmin Moslem
5/5/2025
cs.CLcs.SDeess.AS

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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.

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Cite this paper

@article{farouq2025bemba,
  title  = {Bemba Speech Translation: Exploring a Low-Resource African Language},
  author = {Muhammad Hazim Al Farouq and Aman Kassahun Wassie and Yasmin Moslem},
  year   = {2025},
  eprint = {2505.02518},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2505.02518v3}
}

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