A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026
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Computer Science > Computation and Language
Title:A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026
Abstract:We implement simultaneous translation capability with the offline direct speech-to-text translation model Canary, using the state-of-the-art policy AlignAtt, and submit it to IWSLT 2026 Simultaneous Speech Translation Shared task for Czech to English and English to German and Italian.
The strengths of our system are: (1) high translation quality, outperforming similarly sized baselines both in low- and high-latency regimes in computationally unaware simulations; (2) low computational requirements, as the model has only 1B parameters; (3) multilinguality -- support of 25 source and 25 target languages.
| Comments: | IWSLT 2026 |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2606.03948 [cs.CL] |
| (or arXiv:2606.03948v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2606.03948
arXiv-issued DOI via DataCite (pending registration)
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