Music and Audio Research Group

Seoul National University

Introducing MARG

Music and Audio Research Group or MARG at SNU is a highly interdisciplinary research group that tries to find solutions to answer these questions. And there are a greater number of intriguing problems in audio/music that still remain unsolved. As we can have thousands of songs in a portable music player or have an access to tens of millions of songs on the web with the advent of technologies, it becomes more and more difficult to search and discover music we like. Although Information Retrieval (IR) is a mature field of science, Music Information Retrieval (MIR) is just getting started, attracting more and more researchers from the diverse fields of science, including music, computer science, information science, library science, cognitive science, neuroscience, psychology, law, or electrical engineering.

So, if you love music and if you have ever wondered about the above questions and the like, you’re more than welcome to join our group!

What are people doing at MARG?

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In Music App

“How do I explore new music of my taste? I am not interested in what is recommended by my online music service.”
“I don’t remember the title or artist name of the song I listened to the other day. All I remember is the melody line from the chorus part. How can I find it?”

  • Recommender Systems

  • Music Retrieval

When Listening Music

“I want to remove the vocal part only from any recordings for singing practice. Would it be possible?”
“Whenever I listen to ‘Fake Plastic Tree’ by Radiohead, I shed tears. What’s going on inside my brain?”

  • Source Separations

  • Music Perception/Cognition


“I want to play ‘Guitar Hero’ but with my REAL guitar. And I want to choose whatever songs I like from my collection. Can I do it?”
“What if I could play flute without using my mouth? How about with my whole body?”

  • Audio/Music Signal Processing

  • New Interface/Interaction Design


Currently active research projects at MARG

Hear what you

Cross-modal audio synthesis/transformation using generative adversarial network

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Auto-regressive Generative Adversarial Network for Singing Synthesis and Evaluation

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Development of smart sleep mask using acoustic biomarker and machine learning

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Do you want to see more research?

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Latest News

‘디지털헬스 해커톤 2018′ 대상 수상

10월 30th, 2018|‘디지털헬스 해커톤 2018′ 대상 수상에 댓글 닫힘

지난 10월 27일(토) ~28일(일), 최형석(석박통합과정)학생이 이끄는 팀이 2018년 삼성융합의과학원에서 주최하는 ‘디지털헬스 해커톤’에서 대상 및 특별상을 수상했다.이

Latest News

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‘디지털헬스 해커톤 2018′ 대상 수상

10월 30th, 2018|‘디지털헬스 해커톤 2018′ 대상 수상에 댓글 닫힘

지난 10월 27일(토) ~28일(일), 최형석(석박통합과정)학생이 이끄는 팀이 2018년 삼성융합의과학원에서 주최하는 ‘디지털헬스 해커톤’에서 대상 및 특별상을 수상했다.이

Contact us

Music and Audio Research Group
443-270, 864-1 Iui-dong, Yeongtong-gu,
Suwon-si, Gyeonggi-do, Republic of Korea
TEL +82 031 888 9150