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

5%

5% -- speech recognition word error rate for best speech recognition systems (2025)

2025  · NIST (via Straits Research)

The best speech recognition systems make errors on fewer than 5 words out of every 100.

  • applies to best-performing systems
  • fewer than 5 words out of 100
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Attribution: NIST (via Straits Research) View source
Lighthouse Research Team
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Source verified Evidence graded
Value
5%
Unit
Percentage
Data Vintage
2025
Entity
best speech recognition systems
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
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
NIST (via Straits Research) Primary Tier C
https://twixor.ai/blog/how-ai-agents-work/ ↗
Confidence: 48/100 Vintage: 2025 Channel: Deep Crawl
Source Article
How AI Voice Agents Work: Everything You Need to Know
AI voice agents hear what’s being said, understand what the caller wants, decide how to answer, and reply with natural-sounding speech, all in real time. They work on four major technologies: Automatic Speech Recognition, Natural Language Understanding, Decision Engine, and Text-to-Speech Synthesis.…
Original Research
NIST (via Straits Research) · Original study ↗

NIST benchmark cited by Straits Research

Methodology documented
IndustryAI RoleAll marketers Channelmulti-channel
Plain Text
best speech recognition systems: 5% speech recognition word error rate. Source: NIST (via Straits Research) (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/asr-word-error-rate-benchmark
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<blockquote cite="https://lighthousedata.io/data/asr-word-error-rate-benchmark" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>5%</strong> -- speech recognition word error rate for best speech recognition systems<br><small>Source: NIST (via Straits Research) (2025) · <a href="https://lighthousedata.io/data/asr-word-error-rate-benchmark" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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