Bemba Speech Translation: Exploring a Low-Resource African Language
arXiv:2505.02518 · doi:10.18653/v1/2025.iwslt-1.37
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.
IWSLT 2025