Seoul, South Korea

Mun Hak Lee


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Mun Hak Lee: Innovator in Speech Recognition Technology

Introduction

Mun Hak Lee is a prominent inventor based in Seoul, 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 and apparatus for generating an end-to-end (E2E) speech recognition model.

Latest Patents

Mun Hak Lee holds a patent for a "Method and apparatus for generating a speech recognition model for generating an E2E speech recognition model using calibration correction." This patent describes a speech recognition model generating device that utilizes an acoustic model and a language model. The device incorporates a first artificial neural network module that processes speech information and a second module that outputs corresponding text information. The E2E speech model generating unit creates a coupling probability distribution based on the outputs of both models, ensuring accurate speech recognition through calibration corrections.

Career Highlights

Mun Hak Lee is affiliated with the Industry-University Cooperation Foundation at Hanyang University. His work focuses on advancing speech recognition technologies, which have applications in various fields, including artificial intelligence and human-computer interaction. His dedication to research and innovation has positioned him as a key figure in this domain.

Collaborations

Mun Hak Lee collaborates with Joon-Hyuk Chang, contributing to the development of cutting-edge technologies in speech recognition. Their partnership enhances the research output and innovation potential within their field.

Conclusion

Mun Hak Lee's contributions to speech recognition technology exemplify the impact of innovative thinking in advancing communication systems. His patent and ongoing research continue to shape the future of this essential technology.

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