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Modeling turn-taking with distant viewing: investigating silence thresholds in human and AI-generated discourse

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Computer Science > Computation and Language

arXiv:2607.18076 (cs)
[Submitted on 20 Jul 2026]

Title:Modeling turn-taking with distant viewing: investigating silence thresholds in human and AI-generated discourse

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Abstract:This study investigates silence gaps in two kinds of audiovisual material. We analysed thirty US situational comedies and fifty-one synthetic podcasts generated with Google NotebookLM. Gaps were compared across speaker gender, assigned from a fundamental-frequency threshold estimated in Praat, and across production settings.
Comments: 10 pages, MeSSH26 (Méthodes pour les sciences sociales et les humanités - Methods for social sciences and humanities 2026)
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2607.18076 [cs.CL]
  (or arXiv:2607.18076v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2607.18076
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Nicolas Ballier [view email]
[v1] Mon, 20 Jul 2026 15:46:06 UTC (27 KB)
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