This inventor holds 1 USPTO granted patent. Top assignee: The United States of America as Represented by the Administrator of the. Active years: 1998.
Company Filing History:
Years Active: 1998
Title: Dena S Haynes: Innovator in Adaptive Speech Recognition
Introduction
Dena S Haynes is a notable inventor based in League City, TX (US). She has made significant contributions to the field of speech recognition technology. Her innovative work focuses on creating systems that enhance the interaction between humans and machines through spoken commands.
Latest Patents
Dena S Haynes holds a patent for a "Real-time reconfigurable adaptive speech recognition command and control" system. This adaptive speech recognition and control system allows for the management of various mechanisms and systems in response to spoken instructions. The system is designed to effectively direct operations into appropriate memory nodes and templates corresponding to the voiced command. It is capable of identifying spoken commands from a group of trained operators and updating voice templates as needed. This ensures that the system remains accurate despite changes in pronunciation and voice characteristics over time. The system also includes provisions for near-real-time retraining and overall system updates to maintain recognition performance.
Career Highlights
Dena S Haynes has dedicated her career to advancing speech recognition technology. Her work has led to the development of systems that improve user experience and operational efficiency. With her innovative approach, she has positioned herself as a key figure in the field of adaptive technology.
Collaborations
Dena has collaborated with notable colleagues, including Marc J Sommers and George A Salazar. These partnerships have contributed to the advancement of her projects and the successful implementation of her inventions.
Conclusion
Dena S Haynes is a pioneering inventor whose work in adaptive speech recognition has the potential to transform how we interact with technology. Her contributions are significant in the ongoing evolution of speech recognition systems.