Mukwonago, WI, United States of America

David Erik Chevalier

This inventor holds 1 USPTO granted patent. Top assignee: Motorola Corporation. Active years: 2001.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Erik Chevalier. Retrieved from https://idiyas.com/inventor/david-erik-chevalier-60s1bjcb

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2001

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1 patent (USPTO):Explore Patents

Title: David Erik Chevalier: Innovator in Voice Recognition Technology

Introduction

David Erik Chevalier is an accomplished inventor based in Mukwonago, Wisconsin. He has made significant contributions to the field of voice recognition technology. With a focus on enhancing user interaction through innovative systems, Chevalier has developed a unique approach to voice recognition.

Latest Patents

Chevalier holds a patent for a voice recognition system and method. This system generates a variable rejection strictness based on background noise levels measured during training. It also incorporates noise signal measurements made during an input utterance in recognition mode. A word entrance penalty is assigned as a function of the variable rejection strictness, making the system adaptable to various environments.

Career Highlights

Chevalier is currently employed at Motorola Corporation, where he continues to work on advancing voice recognition technologies. His expertise in this area has positioned him as a valuable asset to the company.

Collaborations

One of his notable coworkers is Henry L. Kazecki, with whom he has likely collaborated on various projects within the realm of voice recognition.

Conclusion

David Erik Chevalier's innovative work in voice recognition technology exemplifies the impact of dedicated inventors in the tech industry. His contributions continue to shape the future of user interaction with technology.

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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