Seoul, South Korea

Suwon Shon


Average Co-Inventor Count = 3.7

ph-index = 1


Company Filing History:


Years Active: 2019-2023

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2 patents (USPTO):Explore Patents

Title: Suwon Shon: Innovator in Voice Recognition Technology

Introduction

Suwon Shon is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of voice recognition technology, holding 2 patents that showcase his innovative approach to solving complex problems in this domain.

Latest Patents

Suwon Shon's latest patents include a "Method for searching for contents having the same voice as the voice of a target speaker, and apparatus for executing the same." This method involves extracting a feature vector corresponding to the voice of the target speaker and generating linear discriminant analysis (LDA) transformation matrices to project the extracted speaker feature vector. The process culminates in generating a hash value that allows for searching content with a similar voice. Another notable patent is the "Method and device for transforming feature vector for user recognition." This invention focuses on extracting a feature sequence from an audio signal and converting the feature vector using a conversion matrix based on probability values.

Career Highlights

Throughout his career, Suwon Shon has worked with notable companies such as Neosapience, Inc. and Samsung Electronics Co., Ltd. His experience in these organizations has allowed him to refine his skills and contribute to groundbreaking advancements in voice recognition technology.

Collaborations

Suwon has collaborated with talented individuals in the field, including Younggun Lee and Taesu Kim. These partnerships have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Suwon Shon is a distinguished inventor whose work in voice recognition technology has paved the way for future advancements. His patents reflect a deep understanding of the complexities involved in audio processing and user recognition.

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