Bristow, VA, United States of America

Justin Nevitt


Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Justin Nevitt - Innovator in Radar Microphone Speech Recognition

Introduction

Justin Nevitt is an accomplished inventor based in Bristow, VA (US). He has made significant contributions to the field of speech recognition technology. His innovative approach utilizes radar technology to enhance the detection and recognition of speech.

Latest Patents

Justin holds a patent for a groundbreaking invention titled "Radar Microphone Speech Recognition." This patent describes a method for detecting and recognizing speech by remotely sensing body motions from a speaker during vocalization using radar sensors. The system employs a transmit aperture that sends out various waveforms, each with a distinct wavelength, towards the speaker. A receiver aperture captures the scattered radio frequency energy from the speaker. The invention extracts Doppler signals correlated with the speaker's vocalization, which are then processed to develop feature vectors. These vectors are utilized by a word classifier to recognize the associated words.

Career Highlights

Justin Nevitt is currently employed at the United States Department of the Navy. His work focuses on advancing technologies that improve communication and interaction through innovative speech recognition methods. His dedication to research and development has positioned him as a key player in his field.

Collaborations

Justin has collaborated with notable colleagues, including Jefferson M Willey and Todd Stephenson. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of cutting-edge technologies.

Conclusion

Justin Nevitt's contributions to radar microphone speech recognition exemplify the intersection of technology and innovation. His work not only enhances communication but also paves the way for future advancements in speech recognition systems.

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