San Diego, CA, United States of America

Maarten Van Segbroeck


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Maarten Van Segbroeck: Innovator in Speech Processing Technology

Introduction

Maarten Van Segbroeck is a notable inventor based in San Diego, California. He has made significant contributions to the field of speech processing, particularly through his innovative patent. His work focuses on enhancing the efficiency and accuracy of speech recognition systems.

Latest Patents

Maarten holds a patent for a system titled "Endpointing in Speech Processing." This invention allows a speech-processing system to determine potential endpoints in a user's speech. The system predicts endpoints in a stream of audio data and assigns an endpoint score that indicates the likelihood of the potential endpoint representing the end of speech. Once a potential endpoint is identified, the system publishes a transcript of the preceding speech and sends it to downstream components for further processing. This innovative approach enables continuous transcription of audio data while ensuring that the downstream components can assess the completeness of the transcript.

Career Highlights

Maarten is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies in speech processing. His work has contributed to advancements in automatic speech recognition and natural language understanding, making significant impacts in the tech industry.

Collaborations

Some of Maarten's coworkers include Roland Maximilian Rolf Maas and Bjorn Hoffmeister. Their collaborative efforts contribute to the innovative environment at Amazon Technologies, Inc.

Conclusion

Maarten Van Segbroeck is a prominent figure in the field of speech processing, with a patent that showcases his innovative approach to endpoint prediction in speech. His contributions continue to influence advancements in technology and improve user interactions with speech recognition systems.

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