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For the Inventor, By the Inventor

Palo Alto, CA, United States of America

Maxim Serebryakov

This inventor holds 4 USPTO granted patents and 7 published patent applications. Top assignee: Sanas.ai Inc.. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maxim Serebryakov. Retrieved from https://idiyas.com/inventor/maxim-serebryakov

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

USPTO Granted Patents = 4 

% Patents Active = 75.0

Average Co-Inventor Count = 4.1

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:

goldMedal4 out of 9 
 
Sanas.ai Inc.
 patents

Years Active: 2024-2026

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4 patents (USPTO):Explore Patents
1. 12586596 - System and method for background noise suppression by projecting an input audio into a higher dimension space (2026-03-24),
2. 12417756 - Systems and methods for real-time accent mimicking (2025-09-16),
3. 12125496 - Methods for neural network-based voice enhancement and systems thereof (2024-10-22),
4. 11948550 - Real-time accent conversion model (2024-04-02),

Title: Maxim Serebryakov: Innovator in Voice Technology

Introduction

Maxim Serebryakov is a prominent inventor based in Palo Alto, California. He has made significant contributions to the field of voice technology, holding three patents that showcase his innovative approach to speech processing and enhancement.

Latest Patents

One of his latest patents is titled "Systems and methods for real-time accent mimicking." This technology involves methods and speech processing systems that utilize trained machine learning models to extract accent features from input audio data. The system analyzes second input data associated with a different accent to generate characteristics specific to the natural voice of the second user. The result is a modified version of the second input speech that preserves the natural voice while mimicking the first accent.

Another notable patent is "Methods for neural network-based voice enhancement and systems thereof." This invention relates to real-time voice enhancement, where input audio data is fragmented into speech frames. These frames are converted into low-dimensional representations, omitting non-content elements. A trained neural network is then applied to generate target speech frames, which are combined to produce output audio data that includes foreground speech content and speech characteristics.

Career Highlights

Maxim Serebryakov currently works at Sanas.ai Inc., a company focused on advancing voice technology. His work has positioned him as a key player in the development of innovative solutions for voice processing.

Collaborations

He collaborates with talented individuals such as Shawn Zhang and Lukas Pfeifenberger, contributing to a dynamic team that drives innovation in their field.

Conclusion

Maxim Serebryakov's contributions to voice technology through his patents and work at Sanas.ai Inc. highlight his role as an influential inventor. His innovative approaches to accent mimicking and voice enhancement continue to shape the future of speech processing 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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