Joe Biden vs. Donald Trump

19 statements · 53,466 words · palette: 12 emotions · model: google/gemini-2.5-flash

Speech rate w/s

2.368CI 2.115–2.5612.426CI 2.072–2.676

Pitch variability Hz

24.975CI 20.337–33.60916.575CI 12.175–22.325

Certainty /100

88.739CI 83.418–97.90688.278CI 83.911–90.0

Valence

12.461CI 3.613–36.25420.971CI -15.643–25.926

Vocal dominance

0.582CI 0.554–0.7090.573CI 0.543–0.615

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Audio: yt-dlp (optional per-URL time spans). Transcription: Whisper large-v3-turbo (mlx-whisper, local), auto language detection with per-video verification.
Text annotation: google/gemini-2.5-flash reading the source language — per segment: emotion (12-label palette), certainty, hedging, valence, speech role (prepared/question/answer); per statement: confidence, coherence, topics, tone.
Vocal dimensions: audeering/wav2vec2-large-robust-12-ft-emotion-msp-dim (arousal/dominance/valence). Pitch: librosa YIN per segment.
Semantics: paraphrase-multilingual-mpnet-base-v2 embeddings — clustering (KMeans + silhouette), coherence, message discipline, formulaicity.
Statistics: bootstrap 95% CIs on medians; paired Wilcoxon for the script-vs-Q&A contrast; role labels validated acoustically against the speaker's pitch band.

Corpus sizes: Joe Biden n=10, Donald Trump n=9. Findings below ~10 statements per speaker are unstable.
Same-genre and same-language comparison assumed (v1); differences may still reflect venue and period, not persona.
Vocal dimensions come from an English-trained model — interpret contrasts between the speakers, never absolute values.
Text ratings come from a single LLM; the Q&A role labels are the one annotation validated independently (acoustically).
Whisper transcription noise is not human-quantified; hallucination loops are deduplicated and degenerate transcripts excluded.
Script-vs-Q&A section skipped: too few statements with a detectable Q&A.