Rob A Rutenbar

Pittsburgh, PA, United States of America

Rob A Rutenbar


Average Co-Inventor Count = 2.6

ph-index = 8

Forward Citations = 110(Granted Patents)


Company Filing History:


Years Active: 2004-2014

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12 patents (USPTO):

Title: Rob A Rutenbar: Innovator in Speech Recognition Technology

Introduction

Rob A Rutenbar is a prominent inventor based in Pittsburgh, PA (US), known for his significant contributions to the field of speech recognition technology. With a total of 12 patents to his name, Rutenbar has developed innovative solutions that enhance the efficiency and effectiveness of speech recognition systems.

Latest Patents

Among his latest patents is the "Acoustic scoring unit implemented on a single FPGA or ASIC." This invention provides a hardware acoustic scoring unit for a speech recognition system, which operates by first scoring a set of ciphones based on acoustic features for one frame of sampled speech. The scoring logic then focuses on the senones associated with the N highest scored ciphones, optimizing the scoring process. Another notable patent is the "Hardware-implemented scalable modular engine for low-power speech recognition." This invention relates to a low-power speech recognition system that includes a backend search engine designed to recognize words based on senone scores from an acoustic scoring stage. The system is designed to enter a low-power state, enhancing its efficiency.

Career Highlights

Rutenbar has worked with notable companies, including Cadence Design Systems, Inc. His work has significantly impacted the development of low-power and efficient speech recognition technologies.

Collaborations

Some of his coworkers include Elias Lee Fallon and Amith Singhee, who have collaborated with him on various projects in the field of speech recognition.

Conclusion

Rob A Rutenbar's innovative contributions to speech recognition technology demonstrate his expertise and commitment to advancing this field. His patents reflect a deep understanding of the complexities involved in speech processing and recognition.

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