Chaimae Chellaf

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2025

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LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task
Chaimae Chellaf | Haroun Elleuch | Othman Istaiteh | D. Fortuné KPONOU | Fethi Bougares | Yannick Estève | Salima Mdhaffar
Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)

In this paper, we present the approach and system setup of our participation in the IWSLT 2025 low-resource speech translation shared task. We submitted systems for three language pairs, namely Tunisian Arabic to English, North Levantine Arabic to English, and Fongbé to French. Both pipeline and end-to-end speech translation systems were explored for Tunisian Arabic to English and Fongbé to French pairs. However, only pipeline approaches were investigated for the North Levantine Arabic–English translation direction. All our submissions are based on the usage of pre-trained models that we further fine-tune with the shared task training data.
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