Company Filing History:
Years Active: 2024-2025
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.