B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Recent
62%
62% -- human voice classification accuracy for human voice recordings (2025)
Actual human voices achieved a 62% accuracy rate in controlled blind listening tests.
- Published in PLOS One study
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
62%
Unit
Percentage
Data Vintage
2025
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
95
Source Trust
60
Citation Chain
20
Independence
30
Methodology
60
Freshness
95
Source
Queen Mary University of London
Primary
Tier A
https://virvid.ai/blog/talk-to-camera-vs-ai-voice ↗
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 ↗
Methodology
Queen Mary University of London blind listening tests published in PLOS One
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
human voice recordings: 62% human voice classification accuracy. Source: Queen Mary University of London (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/human-voice-accuracy-blind-test
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<blockquote cite="https://lighthousedata.io/data/human-voice-accuracy-blind-test" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>62%</strong> -- human voice classification accuracy for human voice recordings<br><small>Source: Queen Mary University of London (2025) · <a href="https://lighthousedata.io/data/human-voice-accuracy-blind-test" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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