Music and Audio Computing Lab

Main menu: Home | People | Research | Publications |

Intelligent System for Classical Music Listening

Classical music often contains complicate musical structure and text compared to other genres of music. In this topic, we search for technical methods that can help listeners to understand and enjoy the classical music. One of the representative examples is web-based listening interface that provides a score of the piece with its various recordings, which are synchronized with the score. We also work on analyzing performer’s interpretation of the music, so that we can explain the differences among performances in a quantitative way.


WebScore: Web-based Classical Music Listening System


Related Publications

  • How the Rhythm Is Actually Performed in the First Movement of the Beethoven’s Seventh Symphony
    Dasaem Jeong and Juhan Nam
    Proceedings of the 10th International Conference of Students of Systematic Musicology (SysMus), 2017 (Accepted)
  • Audio-to-Score Alignment Of Piano Music Using RNN-based Automatic Music Transcription
    Taegyun Kwon, Dasaem Jeong and Juhan Nam
    Proceedings of the 14th Sound and Music Computing Conference, 2017 (Accepted)
  • Note Intensity Estimation of Piano Recordings by Score-informed NMF
    Dasaem Jeong and Juhan Nam
    Proceedings of the Audio Engineering Society Conference on Semantic Audio (AES), 2017 (Accepted)
  • Visualizing Music in its Entirety using Acoustic Features: Music Flowgram
    Dasaem Jeong and Juhan Nam
    Proceedings of the 2nd International Conference on Technologies for Music Notation and Representation (TENOR), 2016 [pdf]

Participants

Dasaem Jeong, Taegyun Kwon and Juhan Nam


Funding

중소기업기술정보진흥원 이공계창업꿈나무과제, 2016