Santa Cruz, CA, United States of America

Sibley Verbeck Simon

USPTO Granted Patents = 4 



Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2018-2024

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4 patents (USPTO):Explore Patents

Title: Sibley Verbeck Simon: Innovator in Speech Recognition Technology

Introduction

Sibley Verbeck Simon is a notable inventor based in Santa Cruz, California. He has made significant contributions to the field of speech recognition technology, holding a total of four patents. His innovative work focuses on improving the accuracy and efficiency of speech recognition systems through the development of topic-specific language models.

Latest Patents

One of Simon's latest patents involves generating topic-specific language models to enhance speech recognition. This process begins with an initial analysis of an audio signal using a generic language model. The speech recognition device identifies topics related to the audio signal based on the words detected in this initial pass. Subsequently, it retrieves a corpus of text associated with those topics. By utilizing this retrieved corpus, the device can create a tailored language model that is more effective for specific contexts. This approach allows for the adaptation of the generic language model, improving the overall performance of speech recognition systems.

Career Highlights

Throughout his career, Sibley Verbeck Simon has worked with prominent companies in the technology sector. Notably, he has been associated with Comcast Interactive Media, LLC and TiVo Corporation. His experience in these organizations has contributed to his expertise in developing advanced speech recognition technologies.

Collaborations

Simon has collaborated with several professionals in his field, including David F. Houghton and Seth Michael Murray. These partnerships have likely fostered innovation and the exchange of ideas, further enhancing the development of his patented technologies.

Conclusion

Sibley Verbeck Simon is a distinguished inventor whose work in speech recognition technology has the potential to transform how we interact with machines. His innovative approach to creating topic-specific language models demonstrates his commitment to advancing this field.

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