B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Recent

58%

58% -- ai voice misclassified as human rate for AI-cloned voices (2025)

2025  · Queen Mary University of London

58% of AI-cloned voices were misclassified as human in controlled blind tests.

  • Controlled blind tests
  • Published in PLOS One
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Attribution: Queen Mary University of London View source
Lighthouse Research Team
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Source verified Evidence graded
Value
58%
Unit
Percentage
Data Vintage
2025
Entity
AI-cloned voices
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
95
Source Trust
60
Citation Chain
20
Independence
30
Methodology
60
Freshness
95
Queen Mary University of London Primary Tier A
https://virvid.ai/blog/talk-to-camera-vs-ai-voice ↗
Confidence: 59/100 Vintage: 2025 Channel: Deep Crawl
Source Article
Talk-to-Camera vs. AI Voice: The Clear Winner in 2026 Might Surprise You
Talk-to-Camera vs. AI Voice: The Clear Winner in 2026 Might Surprise You Talk-to-camera content consistently outperforms AI voice videos by 28-44% in engagement across major platforms, yet AI voices have achieved near-perfect human realism with 58% of listeners unable to distinguish them from real p…
Original Research
Queen Mary University of London · Original study ↗

Queen Mary University of London blind listening tests published in PLOS One

Methodology documented
Industrymarketing
Plain Text
AI-cloned voices: 58% ai voice misclassified as human rate. Source: Queen Mary University of London (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/ai-voice-misclassified-human
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<blockquote cite="https://lighthousedata.io/data/ai-voice-misclassified-human" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>58%</strong> -- ai voice misclassified as human rate for AI-cloned voices<br><small>Source: Queen Mary University of London (2025) · <a href="https://lighthousedata.io/data/ai-voice-misclassified-human" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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