Bengaluru, India

Sunil Mayanna

This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2022.


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Sunil Mayanna: Innovator in Automatic Speech Recognition

Introduction

Sunil Mayanna is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of automatic speech recognition, showcasing his expertise through innovative patent work. His dedication to improving technology has positioned him as a valuable asset in the industry.

Latest Patents

Sunil holds a patent for "Domain specific correction of output from automatic speech recognition." This invention provides techniques for correcting erroneous translations produced by automatic speech recognition engines. The process involves receiving the output from the engine, extracting an alphanumeric sequence that represents the error, generating candidates for correction, and selecting the best candidate based on associated scores. The corrected output is then returned, enhancing the accuracy of speech recognition systems. He has 1 patent to his name.

Career Highlights

Sunil is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies and contribute to advancements in artificial intelligence and speech recognition.

Collaborations

Throughout his career, Sunil has collaborated with talented individuals such as Anbumunee Ponniah and Abhishek Singh. These collaborations have fostered a creative environment that encourages innovation and the development of new ideas.

Conclusion

Sunil Mayanna's work in automatic speech recognition exemplifies his commitment to technological advancement. His innovative patent and collaboration with esteemed colleagues highlight his significant contributions to the field.

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