Ohsung Kwon is a research scientist with 11 years of experience building state-of-the-art deep learning TTS systems at NAVER and NAVER Cloud, including production voices for Maps, Clova devices, dubbing, and shopping live. He combines top-tier academic credentials from Yonsei University with hands-on leadership in large multi-speaker datasets and vendor collaborations to deliver neutral, expressive, and emotional speech engines. Recently he pivoted to LLM-based speech synthesis work on AudioLLM, blending generative language models with voice technology. Known for rigorous parameter estimation research (ExcitNet) and meticulous data quality oversight, he bridges research and production to push voice tech into real-world products. A quiet optimist—“This too shall pass”—he brings focused persistence to complex, multidisciplinary problems.
11 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, 4.12 / 4.3, Master's degree, Electrical and Electronics Engineering, 4.12 / 4.3 at Yonsei University 연세대학교
Drop out to be transferred to Yonsei University, Electrical and Electronic engineering, 4.28 / 4.50, Drop out to be transferred to Yonsei University, Electrical and Electronic engineering, 4.28 / 4.50 at 중앙대학교
Contributions:9 pushes, 1 branch in 1 year 2 months
golangconsulintegration-testsembedded
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Ohsung Kwon - Research Scientist at 네이버클라우드(NAVER Cloud)