LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task

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.