Somerville, MA, United States of America

Brian H Wilson


Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 36(Granted Patents)


Company Filing History:


Years Active: 1995-1997

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2 patents (USPTO):Explore Patents

Title: Brian H. Wilson: Innovator in Speech Recognition Technology

Introduction

Brian H. Wilson is a notable inventor based in Somerville, MA (US), recognized for his contributions to the field of speech recognition technology. With a total of 2 patents, Wilson has made significant strides in developing systems that enhance the accuracy and efficiency of speech recognition.

Latest Patents

Wilson's latest patents include a "Speech recognition system using arbitration between continuous speech" and a "Speech recognition system utilizing vocabulary model preselection." The first patent describes a system where an input utterance is processed by both a large vocabulary isolated word speech recognition module and a small vocabulary continuous speech recognition module. This innovative approach allows for the generation of respective scores for identified models, with an arbitration algorithm selecting the best candidates based on normalized scores. The second patent focuses on preliminary screening of vocabulary models through high-speed distance measuring functions, which improve measurement accuracy while maintaining speed.

Career Highlights

Brian H. Wilson is currently employed at Kurzweil Applied Intelligence, Inc., where he continues to push the boundaries of speech recognition technology. His work has been instrumental in developing systems that are not only efficient but also capable of handling complex speech inputs.

Collaborations

Throughout his career, Wilson has collaborated with notable colleagues such as Vladimir Sejnoha and Girija Yegnanarayanan, contributing to advancements in their shared field of expertise.

Conclusion

Brian H. Wilson's innovative work in speech recognition technology has established him as a key figure in the industry. His patents reflect a commitment to improving the way machines understand human speech, paving the way for future advancements in this critical area of technology.

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