Bemba Speech Translation: Exploring a Low-Resource African Language
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 13 Oct 2026). Builds on 16 of its 29 references that are in the map. First posted on arXiv 5 May 2025.
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16 of 29 references.
References · 16
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- 2021BembaSpeech: A Speech Recognition Corpus for the Bemba Languagecited by 14
4 more
- 2023BIG-C: a Multimodal Multi-Purpose Dataset for Bembacited by 9
- 2024Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translationcited by 9
- 2019Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methodscited by 8
- 2025SpeechT: Findings of the First Mentorship in Speech Translationcited by 1
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Citing papers per year: 2026: 1.
1 paper.
- 2026AfriNLLB: Efficient Translation Models for African Languages10 Feb 2026