Santa Clara, CA, United States of America

Kwangyoun Kim


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):Explore Patents

Title: Kwangyoun Kim: Innovator in Speech Processing Technologies

Introduction

Kwangyoun Kim is a notable inventor based in Santa Clara, CA, who has made significant contributions to the field of speech processing. With a focus on improving the quality of feature vectors and enhancing the flexibility of speech applications, Kim has been instrumental in advancing technology in this area. He holds 2 patents that reflect his innovative approach to solving complex problems in speech processing.

Latest Patents

Kim's latest patents include "Contextual Feature Vectors for Processing Speech" and "Stochastic Future Context for Speech Processing." The first patent addresses the improvement of feature vectors used in speech applications by modifying neural network architectures. This innovation allows for better allocation of computational resources, ultimately enhancing the quality of speech applications. The second patent introduces a method for using stochastic future context in speech processing applications. This approach enables greater flexibility by allowing trained neural networks to operate effectively with varying amounts of future context, thus improving performance and reducing delays in user results.

Career Highlights

Kwangyoun Kim is currently employed at Asapp, Inc., where he continues to develop cutting-edge technologies in speech processing. His work has garnered attention for its practical applications and potential to revolutionize how speech applications function.

Collaborations

Kim collaborates with talented individuals such as Felix Wu and Kyu Jeong Han, contributing to a dynamic team focused on innovation in speech technology.

Conclusion

Kwangyoun Kim's contributions to speech processing through his patents and work at Asapp, Inc. highlight his role as a leading inventor in this field. His innovative approaches are paving the way for advancements that enhance the quality and flexibility of speech applications.

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