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Paper · arXiv

SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue

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 requires large-scale spoken task-oriented dialogue (TOD) data encompassing spoken user behaviors, yet existing datasets are limited in scale and domain coverage, with no systematic pipeline for augmenting them. To address this, we introduce SpokenTOD, a spoken TOD dataset of 52,390 dialogues and 1,034 hours of speech augmented with four spoken user behaviors---cross-turn slots, barge-in, disfluency, and emotional prosody---across diverse speakers and domains. Building on...

AuthorsJonggeun Lee, Junseong Pyo, Jeongmin Park et al.
Primary categorycs.CL
Published17 March 2026
Last updated at source1 September 2026
cs.CL
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