Incheon, South Korea

Gyujin Kim


Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Gyujin Kim: Innovator in Speech Recognition Technology

Introduction

Gyujin Kim is a notable inventor based in Incheon, South Korea. He has made significant contributions to the field of speech recognition technology. His innovative approach has led to the development of a unique method that enhances the accuracy and efficiency of speech recognition systems.

Latest Patents

Gyujin Kim holds a patent for a "Method for speech recognition with grapheme information." This patent discloses a method performed by one or more processors of a computing device. The method includes inputting voice information into an encoder to extract a first feature vector and calculating a first loss function. It further involves inputting the first feature vector into a first decoder to predict the voice information, calculating a second loss function, and extracting a second feature vector. Additionally, the method includes inputting the second feature vector into a second decoder for grapheme-based prediction and calculating a third loss function. The training of at least one of the encoder, the first decoder, or the second decoder is based on the calculated loss functions.

Career Highlights

Gyujin Kim is currently associated with Actionpower Corp., where he continues to innovate in the field of speech recognition. His work has been instrumental in advancing the capabilities of voice recognition technologies. His dedication to research and development has positioned him as a key figure in this domain.

Collaborations

Gyujin Kim collaborates with talented individuals such as Hwanbok Mun and Dongchan Shin. Their combined expertise contributes to the innovative projects at Actionpower Corp.

Conclusion

Gyujin Kim's contributions to speech recognition technology exemplify the impact of innovative thinking in the tech industry. His patent and ongoing work continue to shape the future of voice recognition systems.

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