Amesbury, MA, United States of America

Gregory J Gadbois


Average Co-Inventor Count = 2.1

ph-index = 4

Forward Citations = 392(Granted Patents)


Company Filing History:


Years Active: 1999-2011

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4 patents (USPTO):

Title: Gregory J Gadbois: Innovator in Speech Recognition Technology

Introduction

Gregory J Gadbois is a notable inventor based in Amesbury, MA (US). He has made significant contributions to the field of speech recognition, holding a total of 4 patents. His work has advanced the capabilities of speech recognition systems, making them more efficient and user-friendly.

Latest Patents

Gadbois's latest patents include innovative technologies such as Multi-voice speech recognition and Pronunciation generation in speech recognition. The Multi-voice speech recognition patent describes systems and methods that allow multiple speech recognition means to operate in parallel. This technology includes mechanisms for determining the best scoring hypothesis for each speech recognition means and pruning hypotheses based on the best overall score. The Pronunciation generation patent outlines a method for adding words to a speech recognition vocabulary. This involves creating a collection of possible phonetic pronunciations from the spelling of a word and using speech recognition to identify the pronunciation that best matches an utterance of the word.

Career Highlights

Throughout his career, Gregory J Gadbois has worked with various companies, including Dragon Systems, Inc. His experience in the industry has allowed him to develop cutting-edge technologies that enhance speech recognition capabilities.

Collaborations

Gadbois has collaborated with notable individuals in the field, including Stijn Van Even and Jonathan Hood Young. These collaborations have contributed to the advancement of speech recognition technologies.

Conclusion

Gregory J Gadbois is a prominent figure in the realm of speech recognition, with a focus on developing innovative solutions that improve user interaction with technology. His contributions continue to shape the future of speech recognition systems.

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