About Us

Making a positive impact on the world through research.

Audio signal processing
with the power of machine learning.

We are a group of researchers who are specialised in audio signal processing. We think that the ultimate goal of machine listening field is tagging “any” kind of audio, automatically, and hope that we can contribute to solving this problem. We believe that highly specialised domain knowledge in audio processing is a key to achieving this goal, and make us stand out from the crowd.

The company

Cochlear.ai was founded in Seoul in July 2017. All co-founders are friends from Music and Audio Research Group, Seoul National University who have been studying and working together for several years in the laboratory.

OUR TEAM

Dr. Yoonchang Han

Dr. Yoonchang Han

Co-founder & CEO

Yoonchang is responsible for the research direction of Cochlear.ai. He studied Electronic Engineering at King’s College London, then transferred to Queen Mary, University of London to study Digital Audio and Music System Engineering. Following graduation from QMUL with MEng First-class honours degree in 2011, he joined Music and Audio Research Group, Seoul National University. He obtained PhD degree with best PhD thesis award in 2017, then founded Cochlear.ai with his colleagues.

Subin Lee

Subin Lee

Co-founder & COO

Subin is a co-founder and COO at Cochlear.ai. He obtained B.S in Electrical Engineering and B.B.A from Sogang University. With his passion for audio engineering, he joined Music and Audio Research Group, Seoul National University in 2013 and is currently pursuing PhD degree. His research interests are focused on discovering emotional and disease (major depressive disorder, schizophrenia) aspects from the human voice. He loves Arsenal, Mets, Jets and Williams F1 racing.

Dr. Jeongsoo Park

Dr. Jeongsoo Park

Co-founder & Research Scientist

Jeongsoo is a co-founder and research scientist at Cochlear.ai. He obtained his B.S. and M.S. degree in Electrical Engineering from Seoul National University in 2010 and 2012, respectively. Fascinated by the possibility of audio engineering, he joined Music and Audio Research Group, Seoul National University in 2012 and received PhD degree in 2018. His research mainly focuses on music source separation, but his interests also include audio-related machine learning approaches.

Donmoon Lee

Donmoon Lee

Co-founder & Research Scientist

Donmoon is a co-founder and research scientist at Cochlear.ai. He obtained B.E. degree in Bio-System Engineering in 2014 from Seoul National University. With his interest in music and audio engineering, he obtained M.E. degree in 2016 at Music and Audio Research Group (MARG), Seoul National University. Now, he is a PhD student in MARG. His main areas of interest are audio signal processing, neural networks, audio event detection, and multimodal approaches.

Dr. Il-young Jeong

Dr. Il-young Jeong

Co-founder & Research Scientist

Il-Young is a co-founder and research scientist at Cochlear.ai. He holds a B.S. degree in Electrical Engineering and received M.E. from Intelligent Information Processing laboratory, Sogang University. His primary interest was digital signal processing for speech recognition systems. During his PhD study at the Music and Audio Research Group, Seoul National University, he sought to expand his research area into general audio signals such as music and sound events. He also loves to discover new music, travel on a shoestring, and drink beer.

Hyungui Lim

Hyungui Lim

Co-founder & Research Scientist

Hyungui Lim is a co-founder and research scientist at Cochlear.ai. He studied Electronic Engineering at Konkuk University. He also formed a band in college and produced music. With his passion for audio and music, he joined in Music and Audio Research Group, Seoul National University. He obtained M.S. degree in 2017 then co-founded Cochlear.ai. His main research interest is deep learning based audio analysis for audio event detection and music information retrieval.

Sihu Song

Sihu Song

Software Engineer

Sihu is a software engineer at Cochlear.ai. He holds B.E. degree in Bio-brain Engineering and Computer Science, and M.E. degree in Information Security from KAIST. He is a cloud computing system researcher and is now working on developing and maintaining Cochlear.ai’s cloud services. He likes history, playing games, and most of all, playing historical strategy games.

Taehun Kim

Taehun Kim

Software Engineer

Taehun Kim is an embedded software engineer at Cochlear.ai. He earned a bachelor’s degree in Information Communication from Youngsan University in 2007 and a master’s degree in mobile communication engineering from Sungkyunkwan University. He has expertise in TCP/IP network, open source software, embedded system, operating system and ARM architecture. He is a Linux kernel hacker. So he enjoys creating something in a Linux environment. Sometimes he contributes his source code to open source projects, especially the Linux kernel. His main mission is ‘On-device AI’ for Cochelar.ai’s AI system.

Sungkyun Chang

Sungkyun Chang

Research Scientist

Sungkyun Chang is a research scientist at Cochlear.ai. He received the B.M. degree in Music Composition and the M.S. in engineering degree from Seoul National University. Before joining Cochelar.ai, he was a researcher with the Institute for Industrial Systems Innovation (IISI), and Music and Audio Research Group (MARG) at Seoul National Univeristy. His previous research interests focus on music information retrieval, with a strong emphasis on singing voice analysis, lyrics-to-audio alignment, and coversong identification. His current research interests include meta-learning approaches to various audio-related tasks, such as sequential skip prediction and speech prosody modeling with few shot. He is an Arab-pop fan.

Benjamin Chabanne

Benjamin Chabanne

Intern

Benjamin Chabanne is an intern at Cochlear.ai. He is currently in his last year at ENSTA ParisTech, a French engineer school and about to graduate his M.S. in engineering and software architecture and security. He is helping software engineer team. He likes to travel, particularly Asia, and decided to settle for a while in Seoul. He also loves music, his​ most prefer style being techno music.

Charlotte Hye Sung Roh

Charlotte Hye Sung Roh

Intern

Charlotte is an intern at Cochlear.ai. She is a rising senior at Duke University (Durham, NC) studying Electrical & Computer Engineering and Music. Her studies are mainly focused on signal processing and integrated circuits, having experiences of taking on various engineering projects both in lab and outside of class environments. She loves barhopping, music, and learning new languages.

Kunduz Baryktabasova

Kunduz Baryktabasova

Intern

Kunduz is an intern at Cochlear.ai. She is an undergraduate student at KAIST, studying Computer Science. She is now working on Database and Android development with software engineering team. She is interested in studying services and deep learning and playing tennis.

THE ADVISORS

Prof. Kyogu Lee

Prof. Kyogu Lee

Advisor

Kyogu Lee received the B.S. degree in Electrical Engineering from Seoul National University in 1996, the M.M. degree in Music Technology from New York University in 2002, and the M.S. degree in Electrical Engineering and the Ph.D. degree in Computer-based Music Theory and Acoustics from Stanford University in 2007 and 2008, respectively.  He is now an associate dean and associate professor in the Graduate School of Convergence Science and Technology at Seoul National University, and is leading the Music and Audio Research Group (MARG).