Music and Audio Computing Lab

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Singing Voice Analysis in Polyphonic Music

In popular music, singing voice is the central sound source that determines the song quality, as it conveys melody, lyrics, emotion and humanity with its high expressivity. In this project, we investigate algorithms to analyze various characteristics of singing voice in popular music. They include singing voice detection, singing melody extraction, singer recognition, and auto-tagging of singing voice.


all together

K-pop Singing Voice Tagging System


Related Publications

  • Revisiting Singing Voice Detection: a Quantitative Review and the Future Outlook
    Kyungyun Lee, Keunwoo Choi and Juhan Nam
    Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018 [pdf] [code]
  • A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
    Jiyoung Park, Donghyun Kim, Jongpil Lee, Sangeun Kum and Juhan Nam
    Joint Workshop on Machine Learning for Music, International Conference on Machine Learning (ICML), 2018 [pdf]
  • Building K-POP Singing Voice Tag Dataset: A Progress Report
    KeunHyoung Luke Kim, Sangeun Kum, Chae Lin Park, Jongpil Lee, Jiyoung Park and Juhan Nam
    Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [pdf]
  • Visualization of Singing Expression Using Vibrato Lissajous Figures
    Tae Hyoung Kim and Juhan Nam
    Proceedings of the HCI Korea, 2017
  • Melody Extraction on Vocal Segments Using Multi-Column Deep Neural Networks
    Sangeun Kum, Changheun Oh and Juhan Nam
    Proceedings of International Society for Music Information Retrieval Conference (ISMIR), 2016 [pdf] [website]
  • Investigation on Vocal Tags and Singer Similarity of K-pop
    Jongpil Lee, Tae Hyoung Kim, Sangeun Kum, Keunhyoung Luke Kim, Changheun Oh and Juhan Nam
    Proceedings of the Acoustical Society of Korea Spring Conference, 2016

Participants

Sangeun Kum, Keunhyoung Kim, Jongpil Lee, Saebyul Park, Jiyoung Park, Chaelin Park and Juhan Nam


Funding

National Research Foundation of Korea, 2015-2018