VoiceVault’s biometric solution scales to 1 billion authentications a year
VoiceVault has announced that its voice biometric identity verification solution has been verified by Microsoft as having the ability to handle at least 1 billion authentications per year.
VoiceVault says the ability to handle a 1 billion biometric throughput rate is an important distinguisher and demonstrates that the voice biometric component of a call center solutions or smart device app will never be a bottleneck. The high volume capacity is enabled by Microsoft SQL Server 2012, a key architecture component of VoiceVault’s biometric identity verification solutions.
“As a voice biometric solution provider, it’s vital that we have high levels of throughput designed-in,” Nick Wise, CTO for VoiceVault said. “Identity verification is a key component in enterprise solutions and our customers expect it to perform at the highest levels. We’re proud to be working with Microsoft in ensuring that voice biometrics is never a bottleneck.”
VoiceVault is based in the U.S. and new tests have confirmed that the company’s biometric solutions have obtained a verifiable equal error rate of 0.1 percent compared to typical error rates of around two percent in other voice biometric deployments. Its false accepts rate was ranked at 0.01 percent, while its false reject rates were less than 5 percent.
Reported previously in BiometricUpdate.com, the company recently announced the latest enhancements to its voice biometric identity verification platform: a replaceable voice biometric capacity that the company says provides high levels of protection against fraudulent attacks on user identity.
VoiceVault has had an eventful 2012 and has announced major partnerships in the past few months. Identified as one of the most notable contract wins in 2012 by BiometricUpdate.com, VoiceVault announced that its voice biometric identity verification solution would be used by a leading U.S. cable provider.
access control | authentication | biometrics | identity verification | voice biometrics