Aachen, Germany

Stefan Besling

This inventor holds 5 USPTO granted patents. Top assignees: Koninklijke Philips Corporation N.v., U.S. Philips Corporation. Active years: 2000-2004.


% Patents Active = 100.0

Average Co-Inventor Count = 2.5

ph-index = 5

Forward Citations = 704(Granted Patents)


Company Filing History:


Years Active: 2000-2004

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5 patents (USPTO):Explore Patents

Title: The Innovations of Stefan Besling

Introduction

Stefan Besling is a notable inventor based in Aachen, Germany. He has made significant contributions to the field of speech recognition technology. With a total of 5 patents to his name, Besling's work has advanced the capabilities of how machines understand and process human speech.

Latest Patents

Among his latest patents is a method of speech recognition that involves storing an information unit on a server, which can be retrieved by a client. This method allows for the dynamic assignment of speech recognizers in a communications network, ensuring high recognition quality and acceptable processing times. Another significant patent is for a speech recognition system that utilizes parallel large vocabulary recognition engines. This system is designed to recognize sequences of spoken words through multiple large vocabulary speech recognizers, each associated with different recognition models.

Career Highlights

Stefan Besling has worked with prominent companies such as Koninklijke Philips Corporation N.V. and U.S. Philips Corporation. His experience in these organizations has allowed him to refine his expertise in speech recognition technologies and contribute to innovative projects.

Collaborations

Throughout his career, Besling has collaborated with notable professionals in the field, including Eric Thelen and Meinhard Ullrich. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Stefan Besling's contributions to speech recognition technology demonstrate his innovative spirit and dedication to advancing the field. His patents reflect a commitment to improving how machines interact with human speech, paving the way for future advancements in this area.

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