Solving thePII Recognition Blind Spotin Voice AI
While industry leaders excel at general transcription, they consistently fail at accurately capturing email addresses and other crucial PII—rendering otherwise intelligent voice systems functionally useless.
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5× Improvement in Email Recognition
Our state-of-the-art model demonstrates a dramatic improvement in email recognition accuracy compared to industry leaders.
Metric | Voxium AI | Deepgram Nova-3 | Deepgram Nova-2 |
---|---|---|---|
Perfect Email Recognition | 0.00% | 0.00% | 0.00% |
Word Error Rate (WER) | 0.00% | 0.00% | 0.00% |
Character Error Rate (CER) | 0.00% | 0.00% | 0.00% |
Perfect Username Recognition | 0.00% | 0.00% | 0.00% |
Perfect Domain Recognition | 0.00% | 0.00% | 0.00% |
Why Email Recognition is aCritical Blind Spot
Understanding the challenge that makes even the most advanced voice AI systems struggle
The Technical Challenge
Email addresses contain unique combinations of characters, symbols, and domains that general-purpose speech recognition models aren't specifically trained to recognize.
- •Unusual character sequences in usernames
- •Special characters like dots, underscores, and hyphens
- •Domain names that may be unfamiliar to general models
- •Ambiguity between "at" and "@" symbol in speech
The Business Impact
Inaccurate email recognition creates significant business problems that undermine the value of voice AI systems:
- •Lost leads and revenue opportunities
- •Customer frustration during voice interactions
- •Manual correction and data entry costs
- •Inability to automate customer acquisition workflows
Our Solution
Voxium AI has developed a specialized model that focuses specifically on accurate PII recognition, with particular emphasis on email addresses. Our technology bridges this critical gap, enabling businesses to reliably capture customer information during voice interactions.
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