Bemba Speech Translation: Exploring a Low-Resource African Language

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Muhammad Hazim Al Farouq, Aman Kassahun Wassie, Yasmin Moslem

Published: 2025, Last Modified: 20 Jun 2025CoRR 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
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.