English(EN) DIAL-S2ST: Learning Latency Control for Simultaneous Speech-to-Speech Translation

新方法实现同步语音翻译延迟控制

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-26 04:00

研究人员开发了DIAL-S2ST，一种新颖的训练后方法，旨在控制同步语音到语音翻译模型的推理延迟。该方法利用来自前瞻预测的自蒸馏，无需配对目标数据即可实现更早的语音输出。通过训练单个LoRA适配器，该系统允许在推理时调整时序，并证明了在仅使用10小时源语音进行法语到英语翻译时能有效适应。 AI

影响该方法可以改善语音翻译系统的实时性能和用户体验。

排序理由该集群包含一篇详细介绍语音翻译新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍语音翻译新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.CL TIER_1 English(EN) · Jeongsoo Choi, Junseok Ahn, Joon Son Chung · 2026-10-26 04:00

DIAL-S2ST：学习用于同步语音到语音翻译的延迟控制

arXiv:2610.32214v1 Announce Type: new Abstract: We propose DIAL-S2ST, a post-training method for learning inference-time latency control in simultaneous speech-to-speech translation models. Our approach reuses pretrained translation capabilities through self-distillation from loo…