Bemba Speech Translation: Exploring a Low-Resource African Language
2025-05-05Unverified0· sign in to hype
Muhammad Hazim Al Farouq, Aman Kassahun Wassie, Yasmin Moslem
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
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.