Ventura, CA, United States of America

Bryan Stewart


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 28(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations of Bryan Stewart in Synthetic Speech Discrimination

Introduction

Bryan Stewart is an accomplished inventor based in Ventura, CA (US). He has made significant contributions to the field of synthetic speech discrimination. His innovative work focuses on distinguishing between human and synthetic speech, which has important applications in various technologies.

Latest Patents

Bryan Stewart holds a patent for a system and method for discriminating between human and synthetic speech. The patent, titled "Synthetic speech discrimination systems and methods," outlines a method that includes memory for storing a speaker verification application, a communication network that receives a speech signal from a client device, and a processor that executes instructions stored in memory. The processor extracts discriminating features from the speech signal and classifies it as either human or synthetic based on these features. This invention is crucial for enhancing the accuracy of speech recognition systems.

Career Highlights

Stewart's career is marked by his dedication to advancing technology in the field of speech processing. His work at Voicecipher, Inc. has positioned him as a key player in developing innovative solutions that improve communication technologies. His patent reflects his commitment to creating systems that enhance user experience and security.

Collaborations

Bryan Stewart has collaborated with notable professionals in his field, including Phillip L De Leon and Steven Spence. These collaborations have contributed to the development of cutting-edge technologies in synthetic speech discrimination.

Conclusion

Bryan Stewart's contributions to synthetic speech discrimination through his innovative patent demonstrate his expertise and commitment to advancing technology. His work continues to influence the field and improve the way we interact with speech recognition systems.

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