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

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.

Computation and Language (cs.CL)

arXiv:2607.18076 [cs.CL]

(or arXiv:2607.18076v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2607.18076 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.