Watertown, MA, United States of America

Dean G Sturtevant


Average Co-Inventor Count = 6.4

ph-index = 4

Forward Citations = 822(Granted Patents)


Company Filing History:


Years Active: 1990-2000

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4 patents (USPTO):Explore Patents

Title: Dean G Sturtevant: Innovator in Speech Recognition Technology

Introduction

Dean G Sturtevant is a notable inventor based in Watertown, MA (US). He has made significant contributions to the field of speech recognition technology, holding a total of four patents. His work focuses on enhancing the capabilities of word recognition systems, making them more efficient and adaptable to various computational resources.

Latest Patents

Sturtevant's latest patents include innovative apparatuses and methods for training and operating speech recognition systems. One of his patents describes a word recognition system that can respond to user input by limiting recognized words to those related to the input string. It also includes features for scoring signals generated by users to improve training accuracy. Another patent outlines a system that detects available computational resources and alters its processing instructions accordingly. This adaptability allows the word recognition program to function effectively across different computer systems, optimizing performance based on available hardware.

Career Highlights

Sturtevant has worked with Dragon Systems, Inc., a company known for its advancements in speech recognition technology. His contributions have played a crucial role in the development of more responsive and intelligent speech recognition applications. His innovative approaches have set new standards in the industry, enhancing user experience and functionality.

Collaborations

Throughout his career, Sturtevant has collaborated with notable colleagues, including James K Baker and Joel M Gould. These partnerships have fostered a creative environment that has led to groundbreaking advancements in speech recognition technology.

Conclusion

Dean G Sturtevant's work in speech recognition technology exemplifies innovation and dedication to improving user interaction with machines. His patents reflect a deep understanding of both user needs and technological capabilities, making him a significant figure in the field.

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