Mountain View, CA, United States of America

Brian Farris

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Google Inc.. Active years: 2025.

USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Brian Farris - Innovator in Automatic Speech Recognition

Introduction

Brian Farris is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of automatic speech recognition (ASR). His innovative approach has led to the development of a unique method that enhances the capabilities of ASR models.

Latest Patents

Brian Farris holds a patent for a method titled "Self-adaptive distillation." This method involves distilling one or more trained teacher ASR models into a multilingual student model. The process includes receiving a variety of teacher and student training examples. It also encompasses training teacher ASR models to output textual representations of audio inputs. The method generates a multilingual student ASR model by utilizing the student training examples and distilling the teacher ASR models with a tunable distillation loss weight. Each student ASR model is designed to receive audio inputs and produce corresponding textual representations.

Career Highlights

Brian Farris is currently employed at Google Inc., where he continues to push the boundaries of technology in speech recognition. His work has been instrumental in advancing the capabilities of ASR systems, making them more efficient and versatile.

Collaborations

Some of Brian's notable coworkers include Isabel Leal and Pedro Jose Moreno Mengibar. Their collaborative efforts contribute to the innovative environment at Google Inc.

Conclusion

Brian Farris is a key figure in the development of advanced automatic speech recognition technologies. His patent for self-adaptive distillation showcases his innovative spirit and dedication to improving ASR systems.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
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