San Ramon, CA, United States of America

Lan Shek

This inventor holds 1 USPTO granted patent. Top assignee: Sanas.ai Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lan Shek. Retrieved from https://idiyas.com/inventor/lan-shek

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lan Shek: Inventor in Audio Noise Suppression.

Introduction

Lan Shek is an inventor based in San Ramon, California, whose patent work addresses background noise suppression in audio. She is associated with Sanas.ai Inc. and is listed as an inventor on 1 patent.

Latest Patents

Her patent, “System and Method for Background Noise Suppression by Projecting an Input Audio into a Higher Dimension Space,” describes a technique for separating speech from background noise. The system projects frames of input audio into a higher-dimensional space, applies an estimated speech mask to distinguish speech and noise components, and uses inverse projections to produce noise-suppressed output audio. The disclosed approach also transforms noise components back into a lower-dimensional space to help learn the differences between speech and noise. The resulting audio is provided through an audio interface.

Career Highlights

Shek’s patent reflects work on audio-processing methods designed to improve speech clarity by reducing background noise. The patent identifies Sanas.ai Inc. as her company.

Collaborations

Shek’s listed coworkers include Lukas Pfeifenberger and Shawn Zhang.

Conclusion

Lan Shek’s patented work focuses on separating speech from noise through higher-dimensional audio processing, contributing to the development of noise-suppression technology.

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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