Kahyun Choi

Photo of Kahyun Choickahyu2 [at] illinois.edu

Advisor: 

Areas of Research: 

My research interests lie in the intersection of technology, human, and music. I am interested in music information retrieval and digital library research using data mining, machine learning, and music signal processing. I have worked on various topics including a cross-cultural exploration of K-Pop genre/mood, automatic music topic classification using texts and audio features, music mood classification, and automatic lyrics-to-audio alignment.

Field Exam Area: 

Information Storage and Retrieval

Director of Dissertation Research: 

J. Stephen Downie

Education: 

PhD, Library and Information Science, University of Illinois at Urbana-Champaign (in progress)
MS, Digital Media, Korea Advanced Institute of Science and Technology (KAIST)
BE, Information and Computer Engineering, Ajou University

Selected Publications, Papers and Presentations: 

Selected Publications

Xiao Hu, Kahyun Choi, J. Stephen Downie (2015), "A Framework for Evaluating Multimodal Music Mood Classification", Journal of the Association for Information Science and Technology

Xiao Hu, Jin Ha Lee, David Bainbridge, Kahyun Choi, Peter Organisciak, and J. Stephen Downie (2015), "The MIREX Grand Challenge: a framework of holistic user experience evaluation in music information retrieval", Journal of the Association for Information Science and Technology

Jin Ha Lee, Xiao Hu, Kahyun Choi, and J. Stephen Downie (2015), "MIREX Grand Challenge 2014 on User Experience: Qualitative analysis of user feedback", in Proceedings of the 16th International Society for Music Information Retrieval Conference, (ISMIR), 2015

Kahyun Choi, Jin Ha Lee, Craig Willis, J. Stephen Downie (2015), "Topic Modeling Users' Interpretations of Songs to Inform Subject Access in Music Digital Libraries", In Proceedings of the IEEE/ACM Joint Conference in Digital Libraries (JCDL), 2015

J. Stephen Downie, Xiao Hu, Jin Ha Lee, Kahyun Choi, Yun Hao, and Sally Jo. Cunningham (2014), "Ten Years of MIREX (Music Information Retrieval Evaluation eXchange): Reflections, Challenges and Opportunities", in Proceedings of the International Society of Music Information Retrieval Conference (ISMIR), Taipei, Taiwan, Oct. 2014.

Xiao Hu, Jin Ha Lee, Kahyun Choi, and J. Stephen Downie (2014), "A Cross-Cultural Study of Mood in K-POP Songs", in Proceedings of the International Society of Music Information Retrieval Conference (ISMIR), Taipei, Taiwan, Oct. 2014.

Kahyun Choi, Jin Ha Lee, and J. Stephen Downie (2014). "What is this song about anyway?: Automatic classification of subject using user interpretations and lyrics," In Proceedings of the IEEE/ACM Joint Conference on Digital Libraries (JCDL), pp. 453-454, Sep. 2014.

Jin Ha Lee, Kahyun Choi, Xiao Hu, and J. Stephen Downie (2013), "K-Pop Genres: A Cross Cultural Exploration", in Proceedings of the International Society of Music Information Retrieval Conference (ISMIR), Curitiba, Brazil, Oct. 2013.

Selected Talks

"Automatic Music Subject Classification and a Cross-Cultural Exploration of K-Pop Genre", Shazam, Menlo Park, CA, Aug. 14, 2014.

"A Cross-Cultural Study on the Mood and Genre of Korean Pop Songs", Pandora Radio, Oakland, CA, June 19, 2014.

"A Cross-cultural Exploration of K-Pop Moods and Genres", KTH Royal Institute of Technology, Sweden, May 3, 2014 - May 9, 2014.

Related Topics

Digital Libraries, music information retrieval, information access and retrieval