Los Angeles, CA, United States of America

Jason Wung

USPTO Granted Patents = 9 

Average Co-Inventor Count = 4.9

ph-index = 4

Forward Citations = 227(Granted Patents)


Location History:

  • Los Angeles, CA (US) (2017 - 2020)
  • Culver City, CA (US) (2018 - 2020)
  • Cupertino, CA (US) (2021 - 2022)
  • Santa Clara, CA (US) (2023 - 2024)

Company Filing History:


Years Active: 2017-2024

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9 patents (USPTO):Explore Patents

Title: Jason Wung: Innovator in Machine Learning and Audio Technology

Introduction

Jason Wung is a prominent inventor based in Los Angeles, CA. He has made significant contributions to the fields of machine learning and audio technology. With a total of 9 patents to his name, Wung is recognized for his innovative approaches to enhancing audio signals and improving speech recognition systems.

Latest Patents

One of Wung's latest patents is titled "End-to-end time-domain multitask learning for ML-based speech enhancement." This invention discloses a multi-task machine learning model, such as a time-domain deep neural network (DNN), that jointly generates an enhanced target speech signal and target audio parameters from a mixed signal of target speech and interference. The DNN encodes the mixed signal, determines masks for estimating the target signal and audio parameters, and applies the mask to separate the target speech from interference. This technology also leverages multi-channel audio signals and video signals to enhance the robustness of the target speech signal.

Another notable patent is "Spatially informed acoustic echo cancelation." This invention captures audio signals using multiple microphones and determines echo-dominant audio signals based on a directed pick-up beam towards speakers. By removing sound emitted from the speakers, Wung's technology results in clean audio, significantly improving the quality of sound capture.

Career Highlights

Jason Wung is currently employed at Apple Inc., where he continues to innovate and develop cutting-edge technologies. His work focuses on enhancing audio processing and machine learning applications, contributing to the advancement of speech recognition and audio enhancement technologies.

Collaborations

Wung collaborates with talented individuals such as Joshua D Atkins and Mehrez Souden, who share his passion for innovation and technology. Together, they work on projects that push the boundaries of what is possible in audio technology and machine learning.

Conclusion

Jason Wung is a leading inventor whose work in machine learning and audio technology has made a significant impact. His innovative patents and contributions to Apple Inc. highlight his dedication to advancing the field. Wung's inventions continue to shape the future of audio processing and speech enhancement.

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