Changwon, South Korea

Uihyeop Shin

This inventor holds 2 USPTO granted patents. Top assignee: Industry-University Cooperation Foundation Sogang University. Active years: 2021-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Uihyeop Shin. Retrieved from https://idiyas.com/inventor/uihyeop-shin

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 2.9

ph-index = 1


Company Filing History:


Years Active: 2021-2023

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2 patents (USPTO):Explore Patents

Title: Uihyeop Shin: Innovator in Speech Recognition Technology

Introduction

Uihyeop Shin is a prominent inventor based in Changwon, South Korea. He has made significant contributions to the field of automatic speech recognition, focusing on methods that enhance the extraction of target speech signals. With a total of 2 patents, his work is paving the way for advancements in robust speech recognition technologies.

Latest Patents

Uihyeop Shin's latest patents include innovative methods for online target-speech extraction. One of his patents describes a target speech signal extraction method that initializes a steering vector for a target speech source and an adaptive vector. This method sets a real output channel of the target speech source as an output by the adaptive vector, while also initializing adaptive vectors for noise. The process involves minimizing dependency between the real output for the target speech source and a dummy output for the noise. The auxiliary function is utilized to update the adaptive vectors, ultimately estimating the target speech signal from the input signals.

Another patent focuses on receiving information regarding the direction of arrival of the target speech source relative to the microphones. This method generates a nullformer to remove the target speech signal from the input signals and estimate noise. It sets a real output of the target speech source using an adaptive vector and establishes a dummy output by the nullformer. The cost function is designed to minimize dependency between the real and dummy outputs, employing independent component analysis (ICA) or independent vector analysis (IVA) for enhanced accuracy.

Career Highlights

Uihyeop Shin is affiliated with the Industry-University Cooperation Foundation at Sogang University. His role in this institution allows him to bridge the gap between academic research and practical applications in the industry. His innovative work has garnered attention and respect within the field of speech recognition.

Collaborations

Uihyeop Shin has collaborated with notable colleagues, including Hyung Min Park and Seung-Yun Kim. These partnerships have contributed to the development of advanced technologies in speech recognition.

Conclusion

Uihyeop Shin's contributions to the field of automatic speech recognition are noteworthy. His innovative patents and collaborations highlight his commitment to advancing technology in this area. His work continues to influence the future of speech recognition systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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