Mountain View, CA, United States of America

Richard Channing Moore

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Google Inc.. Active years: 2022.


% Patents Active = 100.0

 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: The Innovations of Richard Channing Moore

Introduction

Richard Channing Moore is a notable inventor based in Mountain View, CA. He has made significant contributions to the field of audio processing through his innovative patent. His work focuses on the unsupervised learning of semantic audio representations, which has implications for various audio classification tasks.

Latest Patents

Richard holds a patent for "Unsupervised learning of semantic audio representations." This patent outlines methods for generating training triplets that can be utilized to train multidimensional embeddings. These embeddings represent the semantic content of non-speech sounds in a corpus of audio recordings. The training triplets can be employed with a triplet loss function to enhance the clustering of audio content, facilitate query-by-example lookups, and generalize manually-labeled audio recordings. The triplet sampling methods he developed can be used individually or collectively, each representing a heuristic about the semantic structure of audio recordings. Richard has 1 patent to his name.

Career Highlights

Richard is currently employed at Google Inc., where he applies his expertise in audio processing and machine learning. His innovative approach to audio classification has positioned him as a valuable asset in the tech industry.

Collaborations

Richard has collaborated with talented individuals such as Aren Jansen and Manoj Plakal. Their combined efforts contribute to the advancement of audio technology and machine learning applications.

Conclusion

Richard Channing Moore's work in unsupervised learning of semantic audio representations showcases his innovative spirit and dedication to advancing audio processing technology. His contributions are paving the way for future developments in the field.

Profile summary based on public USPTO records.
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