mlsanityData to 14 Oct 2026

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

arXiv 2607.18076 ↗First posted 20 Jul 2026cs.CLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 21 references that are in the map. First posted on arXiv 20 Jul 2026.

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References · 2

  1. 2020TransNet V2: An effective deep network architecture for fast shot transition detectioncited by 171
  2. 2023Powerset multi-class cross entropy loss for neural speaker diarizationcited by 111

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