VocalZoom introduces voice biometrics technology using its optical sensor

December 6, 2016 - 

VocalZoom has announced voice biometrics technology using its optical sensor that performs voiceprint acquisition and template matching in the security of an embedded, match-in-sensor architecture.

“We all want the simplicity of authenticating to applications and services with our voice, but until now, solutions have been complex and expensive, are not reliable in noisy environments, and are vulnerable to cloned voiceprints,” said Tal Bakish, chief executive officer, VocalZoom. “VocalZoom plans to deliver the industry’s first speaker verification sensor using a match-in-sensor architecture, which will drive a paradigm shift in behavioral authentication.”

According to a company statement, VocalZoom’s patented VoiceMatch-in-Sensor technology for embedded speaker verification products acquires data from users during the biometric enrollment process as their facial skin vibrates during speech. The VocalZoom optical HMC sensor converts this data into a voiceprint associated only with the person who was actually speaking, and stores it inside the sensor. This enables the sensor to meet FIDO compliance requirements, enabling easy plug-and-play installation as compared to existing fingerprint or other biometric sensors that don’t offer secure embedded biometric acquisition and template matching. Each time users authenticate, a voiceprint is again acquired in real time, again optically confirmed to be from a living person rather than a recording, and then securely matched inside the sensor solution against information in its embedded template to verify the user and complete the authentication process.

“Opus Research’s latest voice biometrics census, issued in September 2016, shows a doubling of voiceprint enrollments (more than 137 million globally), signaling voice as a ubiquitous, highly personalized authentication factor, with the capability to combine command and control with identification and access management,” said Dan Miller, lead analyst at Opus Research. “Device-based implementations are accelerating and technologies like VocalZoom’s match-in-sensor voiceprint verification technology will fuel this growth by improving security and fraud protection for products that are easier to build and use.”

VocalZoom’s optical voicematch-in-sensor approach to voiceprint acquisition delivers a streamlined, compact solution with inherent liveness detection that can be included in products ranging from smartphones and PCs to ATMs and the connected car. The sensor also offers the ability to optically acquire other biometric information to be used as additional authentication factors, including the speaker’s unique heartbeat and facial characteristics.

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About Stephen Mayhew

Stephen Mayhew is the publisher and co-founder of Biometrics Research Group, Inc.. Connect with Stephen on LinkindIn.