Charles University (CUNI)

CUNI submits 1B-parameter simultaneous speech translation system to IWSLT 2026

Researchers from CUNI submit a simultaneous speech translation system to the IWSLT 2026 shared task, built on the offline Canary model with the AlignAtt policy. The system covers Czech-English and English-German/Italian translation pairs, supports 25 source and 25 target languages, and outperforms similarly sized baselines in both low- and high-latency regimes. At 1B parameters, it is positioned as a compact, multilingual, computationally efficient solution.