This inventor holds 1 USPTO granted patent. Top assignees: Kangwon National University University-Industry Cooperation Foundation, Sogang University Research Foundation. Active years: 2016.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016
Title: Hyeok Ju Ahn: Innovator in Speech Recognition Technology
Introduction
Hyeok Ju Ahn is a notable inventor based in Wonju-si, South Korea. He has made significant contributions to the field of speech recognition technology, particularly through his innovative patent that utilizes machine learning techniques.
Latest Patents
Hyeok Ju Ahn holds a patent for a method for reranking speech recognition results. This method involves receiving a speech signal as input and performing speech recognition to generate result information that includes multiple candidate sentences and their respective ranks. The process then utilizes a machine learning model to re-rank these candidate sentences, ultimately selecting the highest-ranked candidate as the final speech recognition result. The machine learning model is trained using a correct answer sentence, which enhances the accuracy of the speech recognition process.
Career Highlights
Throughout his career, Hyeok Ju Ahn has worked with esteemed institutions such as the Sogang University Research Foundation and the Kangwon National University University-Industry Cooperation Foundation. His work in these organizations has allowed him to advance his research and contribute to the development of innovative technologies in speech recognition.
Collaborations
Hyeok Ju Ahn has collaborated with notable colleagues, including Jung Yun Seo and Sang Woo Kang. Their combined expertise has furthered advancements in the field of speech recognition.
Conclusion
Hyeok Ju Ahn's contributions to speech recognition technology through his innovative patent demonstrate his commitment to enhancing communication through machine learning. His work continues to influence the development of more accurate and efficient speech recognition systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile