Redwood City, CA, United States of America

Alexei Baevski

This inventor holds 1 USPTO granted patent. Top assignee: Meta Platforms, Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alexei Baevski. Retrieved from https://idiyas.com/inventor/alexei-baevski

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Alexei Baevski: Innovator in Speech Signal Processing

Introduction

Alexei Baevski is a prominent inventor based in Redwood City, CA (US). He has made significant contributions to the field of speech signal processing, particularly through his innovative approaches to machine learning.

Latest Patents

Baevski holds a patent for a method titled "Generating representations of speech signals using self-supervised learning." This patent outlines a sophisticated process that includes generating audio segments from a speech signal, creating latent representations, and utilizing a machine-learning model to enhance speech analysis tasks. His work in this area demonstrates a commitment to advancing technology in speech recognition and processing.

Career Highlights

Currently, Alexei Baevski is associated with Meta Platforms, Inc., where he continues to push the boundaries of innovation in speech technology. His expertise in machine learning and signal processing has positioned him as a key player in the tech industry.

Collaborations

Baevski collaborates with talented individuals such as Abdelrahman Mohamed and Michael Auli, contributing to a dynamic team focused on cutting-edge research and development in speech technologies.

Conclusion

Alexei Baevski's work exemplifies the intersection of technology and innovation in speech signal processing. His contributions are paving the way for advancements in how machines understand and process human speech.

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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