Palo Alto, CA, United States of America

Rhys Compton

This inventor holds 1 USPTO granted patent. Top assignee: Curai, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rhys Compton. Retrieved from https://idiyas.com/inventor/rhys-compton

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Rhys Compton and AI-Powered Speech Signal Processing

Introduction

Rhys Compton is an inventor associated with Palo Alto, California, and Curai, Inc. His patent work addresses the use of artificial intelligence to identify entities in speech-derived text.

Latest Patents

Compton is associated with 1 patent, titled “Speech Signal Processing Using Artificial Intelligence.” The invention describes receiving a digital speech signal and converting it to text. An encoder is pretrained through self-alignment on entities and their synonyms, then trained with label attention by aligning label-text representations with representations that include label synonyms. The trained encoder identifies entities within spans of the text.

Career Highlights

The patent connects Compton’s work at Curai, Inc. with methods for applying artificial intelligence to speech processing and entity recognition. The available information identifies him as an inventor on this patent.

Collaborations

Compton’s listed coworkers include Xavier Amatriain and Li Deng. The provided information does not specify their roles in the patent or their particular contributions to the invention.

Conclusion

Rhys Compton’s patent describes an AI-based approach that converts speech to text and identifies entities using an encoder trained on labels and synonyms.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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