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New spoken user simulator SpokenUS enhances voice agent robustness

By PulseAugur Editorial · [1 sources] ·

Researchers have developed SpokenUS, a novel spoken user simulator designed to improve the robustness of voice agents. This simulator is built upon the SpokenTOD dataset, which contains over 52,000 dialogues and 1,034 hours of speech, incorporating realistic spoken user behaviors like disfluencies and emotional prosody. SpokenUS demonstrates comparable goal coverage to larger models while significantly outperforming baselines in human evaluations, and it gradually discloses information as human users do. AI

IMPACT Enhances evaluation of voice agents by simulating realistic human speech patterns and gradual information disclosure.

RANK_REASON The cluster contains a research paper detailing a new simulator for task-oriented dialogue systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New spoken user simulator SpokenUS enhances voice agent robustness

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The cluster contains a research paper detailing a new simulator for task-oriented dialogue systems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue

    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…

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