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AI-generated discourse analyzed for silence patterns alongside human conversations

A new research paper explores how silence is managed in both human and AI-generated conversations. The study analyzed thirty US sitcoms and fifty-one synthetic podcasts created using Google NotebookLM, comparing silence thresholds between genders and production settings. Tools like Praat were used to estimate fundamental frequency for gap analysis, with associated code and data available on platforms such as Hugging Face and DagsHub. AI

IMPACT Provides insights into AI's conversational capabilities by comparing its silence management to human discourse.

RANK_REASON The cluster contains a research paper published on arXiv detailing an investigation into discourse patterns. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI-generated discourse analyzed for silence patterns alongside human conversations

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Taylor Arnold, Nicolas Ballier, Artem Saloev ·

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

    arXiv:2607.18076v1 Announce Type: new 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, assig…