Seoul, South Korea

Inseop Chung


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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2 patents (USPTO):

Title: Inseop Chung: Innovator in Audio Processing Technologies

Introduction

Inseop Chung is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of audio processing, particularly in keyword spotting technologies. With a total of 2 patents, Chung's work is paving the way for advancements in how audio data is processed and understood.

Latest Patents

Chung's latest patents include "Dummy prototypical networks for few-shot open-set keyword spotting" and "Multi-task learning for personalized keyword spotting." The first patent focuses on systems and techniques for processing audio data, utilizing a dummy prototypical network to perform few-shot open-set keyword spotting (FSOS-KWS). This process involves determining prototype representations based on support samples associated with various classes, allowing for effective classification of query samples. The second patent emphasizes personalized keyword spotting through multi-task learning (PK-MTL), where audio samples are analyzed to generate representations of both keywords and speakers, ultimately improving the accuracy of keyword detection.

Career Highlights

Inseop Chung is currently employed at Qualcomm Incorporated, a leading company in the field of telecommunications and semiconductor technology. His work at Qualcomm has allowed him to explore innovative solutions in audio processing, contributing to the company's reputation for cutting-edge technology.

Collaborations

Chung has collaborated with notable coworkers, including Seunghan Yang and Byeonggeun Kim. These collaborations have fostered a creative environment that encourages the development of new ideas and technologies in audio processing.

Conclusion

Inseop Chung's contributions to audio processing technologies through his patents and work at Qualcomm Incorporated highlight his role as an influential inventor in the field. His innovative approaches to keyword spotting are set to enhance the way audio data is processed in various applications.

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