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Auraya Unveils EVA Forensics v4.1.3

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Auraya has launched EVA Forensics v4.1.3, the latest iteration of its flagship voice biometrics solution for fraud detection and prevention with significant upgrades in functionality, user experience, and operational efficiency.

"The latest EVA Forensics 4.1.3 release has many incremental usability improvements driven by real-world customer feedback. It leverages advances in our core voice biometric engine to deliver ever greater accuracy and specificity in our fraud detection capability. We're especially proud of our industry-leading synthetic voice detection feature that is promoted to GA in this release. As always, we provide our existing customers with a seamless upgrade process from all previous versions," said Jamie Lister, chief technology officer of Auraya, in a statement.

The latest EVA Forensics upgrade introduces a dedicated Voice Matching module within the System Configuration interface, enhancing the platform's adaptability to diverse operational requirements while improving the accuracy and speed of identity verification and enabling administrators to fine-tune matching parameters effortlessly. The advanced vector print technology integration for text-independent voiceprints takes matching precision to the next level.

The new EVA Forensics features a revamped graphical interface and an improved Audio Editor equipped with undo functionality, to manage sensitive audio data.

Bulk imports are now faster and more efficient thanks to concurrent processing and automated audio enhancements.

Built on the ArmorVox 18 engine, EVA Forensics v4.1.3 optimizes scalability and resource utilization. The system's computational architecture ensures faster processing while minimizing resource demands. Real-time updates to identity records further enhance accuracy, ensuring match reports reflect the latest data.

The new release consolidates administrative modules for audio handling. Reporting capabilities have also been elevated, with the introduction of multi-group filtering.

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