Atlanta, GA, United States of America

Elie Khoury

This inventor holds 45 USPTO granted patents and 24 published patent applications and 7 EPO patents, primarily in Voice Biometric Authentication. Top assignee: Pindrop Security, Inc.. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Elie Khoury. Retrieved from https://idiyas.com/inventor/elie-khoury

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 45 

% Patents Active = 82.2

 

Average Co-Inventor Count = 2.7

ph-index = 6

Forward Citations = 231(Granted Patents)


Company Filing History:


Years Active: 2017-2026

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Areas of Expertise:
Voice Biometric Authentication
Deepfake Detection
Speaker Recognition
Multi-Speaker Voice Biometrics
Deep Neural Networks
Robust Spoofing Detection
Channel-Compensated Features
Audio Event Detection
Age Estimation
Cross-Lingual Recognition
Speaker-Independent Embedding
Audiovisual Detection
45 patents (USPTO):Explore Patents

Title: Innovations by Elie Khoury in Speaker Recognition and Deepfake Detection

Introduction

Elie Khoury, an accomplished inventor based in Atlanta, GA, has an impressive portfolio of 25 patents. His innovative contributions primarily focus on enhancing machine-learning architectures for speaker recognition and deepfake detection, addressing significant challenges in audiovisual data security and identity verification.

Latest Patents

Elie Khoury's latest patents include groundbreaking advancements in two key areas: speaker recognition and audiovisual deepfake detection. His patent on speaker recognition with quality indicators presents a machine-learning architecture capable of modeling quality measures for enrollment signals. This architecture identifies deviations from expected enrollment signals, allowing for a refined calibration of speaker recognition outputs based on actual observed calls.

In addition, his patent related to audiovisual deepfake detection involves a sophisticated machine-learning system that integrates biometric identity recognition with deepfake detection capabilities. This invention features multiple scoring components tailored for speaker and facial recognition, alongside sub-architectures for distinguishing real audiovisual data from deepfake content. By analyzing low-level features from both audio and visual data, this architecture improves the accuracy of identity verification in multimedia formats.

Career Highlights

Currently, Elie Khoury is working at Pindrop Security, Inc., which specializes in optimizing security through innovative technology. His career is distinguished by his continuous contributions to the field of machine learning and security technologies, significantly advancing the methodologies for identity verification in both real-world and digital environments.

Collaborations

Elie collaborates with other prominent inventors, including Matthew Garland and Tianxiang Chen. Their combined expertise fosters an environment of innovation, facilitating the development of future-ready technologies aimed at enhancing security protocols in various applications.

Conclusion

Elie Khoury's contributions to the fields of speaker recognition and deepfake detection underscore the importance of innovation in technology security. Through his patents and collaborative efforts, he continues to pave the way for advancements that not only address current challenges but also anticipate future needs in the realm of identity verification and security.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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