Huntingtown, MD, United States of America

Hugh Faust


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: The Innovative Mind of Hugh Faust

Introduction

Hugh Faust is a notable inventor based in Huntingtown, MD (US). He has made significant contributions to the field of speech recognition technology. His innovative approach combines radar technology with voice detection, paving the way for advancements in how we interact with machines.

Latest Patents

Hugh Faust holds a patent for a groundbreaking invention titled "Radar Microphone Speech Recognition." This method allows for the remote detection and recognition of speech by utilizing radar sensors to monitor body motions during vocalization. The technology involves a transmit aperture that sends out various waveforms, each with a unique wavelength, towards the speaker. A receiver aperture captures the scattered radio frequency energy, and Doppler signals related to the speaker's vocalization are extracted. Digital signal processors then create feature vectors from these signals, enabling a word classifier to recognize the associated words.

Career Highlights

Hugh Faust's career is marked by his work with the United States Navy, where he is represented by the Secretary of the Navy. His role has allowed him to contribute to important technological advancements that enhance communication systems. His innovative spirit and dedication to research have made him a valuable asset in his field.

Collaborations

Hugh has collaborated with talented individuals such as Jefferson M Willey and Todd Stephenson. Their combined expertise has fostered an environment of creativity and innovation, leading to the development of cutting-edge technologies.

Conclusion

Hugh Faust's contributions to radar microphone speech recognition exemplify the intersection of technology and communication. His work not only showcases his inventive spirit but also highlights the potential for future advancements in speech recognition technology.

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