Voice Recognition
T4Trust voice biometrics enables you to use a person’s voice as a means to verify the person’s identity with high accuracy and high speed, on mobile, web, and telephone devices. Endless possibilities exist on how to apply this capability in mobile applications, web interfaces, and call centers.
Voice Biometrics
Voice Liveness
T4Trust seamlessly integrates top-tier biometric technology (Voice, Behavioral, and Face) alongside Liveness Detection to facilitate continuous authentication, all while ensuring a smooth user experience (UX):
VOICE – Spearheaded by a NIST award-winning team, our cutting-edge AI-driven voice biometric engine boasts high accuracy, a compact footprint, and a remarkable resilience to noise.
BEHAVIORAL – Every individual interacts with their devices in a distinct manner, akin to handwriting. Our esteemed partners have engineered machine learning algorithms capable of discerning these unique patterns.
LIVENESS – T4Trust stands at the forefront of voice and face liveness technology, employing a distinctive AI-centric approach capable of differentiating between a human voice/face and digital replicas (recordings, photos).
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Types of Voice Authentication
Voice authentication can be accomplished using text-dependent speaker recognition or text-independent voice recognition biometrics.
Text dependent voice verification is where a person speaks a specific passphrase, usually consisting of two to three words, like “My voice is my passphrase.”
Text independent voice verification is a passive voice biometric approach whereby the user can say anything, enabling authentication to quickly happen in the background during their normal interaction with an agent, IVR, or application.
About T4Trust Voice
Security systems, including biometrics, are consistently targeted by fraudsters. In the realm of voice biometrics, “spoofing” involves using fake voice data to deceive systems. Techniques used by fraudsters include speech synthesis, voice conversion, imitation, and replaying recorded voices. T4 Voice combats this through its advanced voice liveness detection.
While voice verification confirms an individual’s claimed identity, voice anti-spoofing determines their authenticity. This liveness feature not only heightens security for known users but also facilitates a more straightforward identity validation for new enrollees.