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Norsk(NO) SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue

新的口语用户模拟器SpokenUS增强语音代理的鲁棒性

研究人员开发了SpokenUS,这是一款旨在提高语音代理鲁棒性的新型口语用户模拟器。该模拟器基于SpokenTOD数据集构建,该数据集包含超过52,000个对话和1,034小时的语音,并融入了诸如非流利语和情感韵律等真实的口语用户行为。SpokenUS在目标覆盖率方面可与大型模型相媲美,并在人类评估中显著优于基线模型,而且它会像人类用户一样逐渐披露信息。 AI

影响 通过模拟真实的语音模式和渐进式信息披露,增强了语音代理的评估。

排序理由 该集群包含一篇详细介绍任务型对话系统新模拟器的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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

新的口语用户模拟器SpokenUS增强语音代理的鲁棒性

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该集群包含一篇详细介绍任务型对话系统新模拟器的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 Norsk(NO) · Jonggeun Lee, Junseong Pyo, Jeongmin Park, Yohan Jo ·

    SpokenUS:面向任务型对话的口语用户模拟器

    arXiv:2603.16783v2 Announce Type: replace Abstract: Robust voice agents require exposure to the full diversity of how people interact through speech. However, obtaining enough spoken interactions is prohibitively expensive. Building spoken user simulators that address this requir…