Weehawken, NJ, United States of America

Connor Cabrera

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Snap Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Connor Cabrera. Retrieved from https://idiyas.com/inventor/connor-cabrera

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Connor Cabrera: Wearable Audio Innovation

Introduction

Connor Cabrera is an inventor associated with Weehawken, New Jersey, and Snap Inc. His patent work addresses how wearable devices can distinguish a wearer’s speech from speech spoken by nearby people.

Latest Patents

Cabrera is associated with 1 patent: “Bystander Speech Command Rejection for Wearable Devices.” The invention describes a head-wearable apparatus equipped with multiple spatially separated microphones. Processors use audio signals from those microphones and a trained machine-learning model to generate data estimating the likelihood that the wearer is speaking. This approach is designed to help wearable devices reject commands originating from bystanders.

Career Highlights

Cabrera’s listed patent connects his work at Snap Inc. with speech detection for wearable technology. The invention combines microphone placement, audio processing, and machine learning to address a practical challenge in voice-controlled devices.

Collaborations

Cabrera’s listed coworkers include Daniel Harris and Hansel Guzman-Soto. The patent information provided identifies the invention and its technical approach but does not specify the individual contributions of these coworkers.

Conclusion

Connor Cabrera’s patent highlights an approach to improving voice interaction on wearable devices by helping distinguish wearer speech from nearby voices.

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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