Summit, NJ, United States of America

Vincent Goffin

USPTO Granted Patents = 10 

Average Co-Inventor Count = 3.1

ph-index = 5

Forward Citations = 80(Granted Patents)


Company Filing History:


Years Active: 2009-2018

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10 patents (USPTO):

Title: **The Innovative Journey of Vincent Goffin**

Introduction

Vincent Goffin is a prominent inventor based in Summit, NJ (US), renowned for his contributions to the field of speech recognition and natural language processing. With a remarkable portfolio of 10 patents, he stands out as a significant figure in the tech industry.

Latest Patents

Among Vincent's latest patents is a groundbreaking system and method for optimizing speech recognition and natural language parameters with user feedback. This invention discloses systems, methods, and non-transitory computer-readable storage media that assign saliency weights to words within an Automatic Speech Recognition (ASR) model. The saliency values are derived from human perception judgments of previous transcripts, allowing for enhanced accuracy in document transcription. By applying these saliency values as weights, the weighted ASR model ensures that users receive a more precise and useful transcription of spoken documents.

Career Highlights

Vincent Goffin has had a distinguished career, notably working with AT&T Intellectual Property II, L.P. and AT&T Intellectual Property I, L.P. His innovative spirit and dedication have led to substantial advancements in speech recognition technology.

Collaborations

Throughout his career, Vincent collaborated with talented individuals such as Andrej Ljolje and Murat Saraclar. These collaborations have fostered an environment of creativity and innovation, further enhancing the impact of their collective work in the industry.

Conclusion

Vincent Goffin's innovative contributions to speech recognition technology and his impressive portfolio of patents highlight his role as a key inventor in today's technological landscape. His dedication to optimizing user experience through advanced systems will undoubtedly continue to influence the realm of natural language processing for years to come.

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