Givaat Shmuel, Israel

Alan Bekker

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.4

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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6 patents (USPTO):Explore Patents

Title: Alan Bekker: Innovator in Speech Recognition Technology

Introduction

Alan Bekker is a prominent inventor based in Givaat Shmuel, Israel. He has made significant contributions to the field of automated speech recognition, holding a total of 6 patents. His work focuses on enhancing the accuracy and efficiency of speech recognition systems, which are increasingly vital in today's technology-driven world.

Latest Patents

Among his latest patents, one notable invention is related to "Boosting Words in Automated Speech Recognition." This patent outlines systems and methods for performing automated speech recognition by accessing a language model that includes a variety of n-grams. The process involves selecting a target word to boost, receiving a boosting factor, and adjusting the language model score based on identified n-grams. Another significant patent is titled "Speech to Entity," which describes systems and methods for extracting entities from received speech. This invention processes audio files to generate a textual representation of the speech input, enhancing the ability to understand and interpret spoken language.

Career Highlights

Alan Bekker is currently employed at Snap Inc., where he continues to innovate in the realm of speech recognition technology. His work at Snap Inc. allows him to collaborate with cutting-edge technology and contribute to advancements in user interaction through voice recognition.

Collaborations

Alan has worked alongside talented individuals such as Jacob Assa and Jackie Assa, contributing to a collaborative environment that fosters innovation and creativity.

Conclusion

Alan Bekker's contributions to speech recognition technology exemplify the impact of innovative thinking in the tech industry. His patents not only enhance automated speech recognition systems but also pave the way for future advancements in this essential field.

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