Aculab voice biometric system authenticates non-verbal speakers
Voice biometrics expert Aculab recently published a blog post illustrating the accessibility features of their VoiSentry speech recognition system.
Written by digital analyst Reece Wheeler, on Publish describes the importance of developing voice biometrics solutions designed to support non-verbal speech.
According to Wheeler, although voice biometric solutions may be more intuitive and secure than traditional passwords and PINs, they must be developed with accessibility features in mind, lest they end up being a barrier for people with speech impairments.
“A good language independent voice biometric system relies on the characteristics of the voice rather than the words actually spoken,” Wheeler explained. “This means that it can still be used by people with speech impairments as long as they can vocalize to a certain extent.”
The VoiSentry system would be built on these principles, explained the digital analyst, and is capable of extracting many diverse vocal traits using a hybrid approach.
Specifically, the technology uses a mix of artificial neural networks, signal processing technology, and analytical linguistics, to create an authentication process that is as smooth as possible.
Wheeler, who suffers from cerebral palsy and limited speech, tested the VoiSentry demo software to assess his speech recognition abilities.
“Honestly, I was impressed that the app was able to identify and verify me every time,” the digital analyst said.
“I have made numerous attempts, making various noises to challenge the software. In the end, it showed he was able to pick up the nuances of my voice in order to get verification, ”Wheeler added.
Aculab’s platform has also been confirmed as secure, with the company recommended for ISO 27001 accreditation last January.
Most recently, Aculab entered into new partnerships with Dotlines Group and UCHU HUB to expand its market presence in Southeast Asia and Europe, respectively.
precision | Aculab | authentication | biometrics | call centers | voice biometrics | speech Recognition