ID R&D Releases IDVoice v2.11 for High Accuracy on a Small Footprint

IDVoice v2.11 offers higher accuracy and speed, smaller footprint, and optimization capabilities to facilitate biometric authentication on a broad range of devices and channels

NEW YORK, January 27, 2019 — ID R&D, the award-winning biometric solutions provider offering AI-based voice, behavioral, and anti-spoofing user authentication capabilities, today announced the newest release of its voice biometric engine solution, IDVoice™ version 2.11. This release delivers a breakthrough in voice biometric optimization with an AI-based SDK of under 1MB, enabling accurate voice biometrics to be implemented on the edge – from chips to IoT devices – for a new era of security and personalization in the voice-enabled UX.

IDVoice, ID R&D’s industry-leading core voice biometric engine, delivers fast, frictionless, and secure voice-based authentication for a range of use cases including mobile and web-based applications, chatbots, IoT devices, call centers, and physical access systems. With the newly reduced footprint of this biometric engine, accurate voice biometrics can be embedded in everyday consumer devices like home automation systems and smart TVs.

The newest release of IDVoice includes a number of key performance improvements including:

  • Higher accuracy and speed through modified x-vector algorithms: ID R&D’s unique modified x-vector approach differs from those using traditional i-vector by delivering faster and more accurate results when matching voice samples. IDVoice v2.11 builds on the company’s previous x-vector approach to deliver even lower error rates, which led to the company finishing the 2019 NIST Speaker Recognition Evaluation Challenge with exceptionally strong results.
  • Reduced footprint for wider deployment: ID R&D’s x-vector approach has also enabled the company to decrease the size of its biometric engine from 40Mb to less than 1Mb. Now IoT application developers and device manufacturers can integrate accurate voice biometrics into smaller and less powerful devices which was previously impossible due to memory and processor limitations.
  • Deployment flexibility: IDVoice v2.11 is available in a number of special fusion versions that can be optimized for specific use cases and hardware, from small IoT devices with limited computational power and memory to large call centers.

IDVoice v2.11 is currently being deployed in various real-world situations, including a mobile banking app, call center fraud detector, and real-time passive call center authentication solution.

IDVoice, built on ID R&D’s biometric engine architecture, is designed to be independent of channel, language, age variance, as well as to be highly resilient to environmental noise. IDVoice includes diarization that detects and separates multiple voices for accurate biometric authentication in audio streams with more than one person.

To enable faster adoption and integration by enterprise developers, IDVoice includes wrappers in C++, Python and Java, and ships as a Docker image for flexible cloud deployments. IDVoice supports iOS, Android, Linux, and Windows, making it suitable for mobile devices, servers, private clouds, and embedded IoT architectures. It is available for both text-dependent and text-independent applications.

“With rising customer demand for conversational interfaces, ID R&D is committed to improving deployment, performance, and the user experience, no matter the channel or application,” said ID R&D Chief Science Officer, Konstantin Simonchik. “With IDVoice v2.11, developers can offer advanced voice biometric authentication on even the smallest device, opening up a whole new world of possibilities for securing the connected world.”

In addition to IDVoice, ID R&D offers a suite of accurate biometric engine technologies and products, including face and behavioral biometric authentication and voice and face anti-spoofing.

Learn more about IDVoice.

About ID R&D
ID R&D is a provider of multimodal biometric security solutions headquartered in New York, NY. With extensive experience in biometrics, ID R&D combines science-driven technological capabilities with leading research and development to deliver seamless authentication experiences. ID R&D’s solutions are available for easy integration with mobile, web, and IoT applications, as well as in smart speakers, set-top boxes, and other IoT devices. The company offers the industry’s #1 voice biometric and #1 voice anti-spoofing technologies based on rankings in leading industry benchmark challenges, and has been recognized as a Top Pick at TechCrunch Disrupt, UBS Future of Banking Finalist, Microsoft Top-10 AI Startup, Best Banking Experience Finalist at VOICE Summit, Finovate Best ID Management Solution Finalist, and as a member of the accelerator Orange Fab. Learn more about ID R&D’s voice and face biometrics, voice and face biometric anti-spoofing, multimodal biometrics, and audio event detection at www.idrnd.ai.

 

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