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

arXiv: https://arxiv.org/abs/2607.18076 · HTML: https://mlsanity.com/paper/2607.18076/

## 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.

## Builds on (most cited first, 2 of 2)

- [TransNet V2: An effective deep network architecture for fast shot transition detection](https://mlsanity.com/paper/2008.04838/) (2020)
- [Powerset multi-class cross entropy loss for neural speaker diarization](https://mlsanity.com/paper/2310.13025/) (2023)

## 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.