C.V.


Education
  • 2016 - now. Ph.D student, Culture Technology @ Music and Audio Computing Lab, KAIST, Korea
  • 2014 - 2016. M.S. Culture Technology @ Music and Audio Computing Lab, KAIST, Korea
  • 2007 - 2014. B.A. Electronics Engineering @ Kyungpook National University, Korea
Research Area
  • Music Information Retrieval, Melody Extraction, Deep Learning
Publications
  • Classification-Based Singing Melody Extraction Using Deep Convolutional Neural Networks
    Sangeun Kum, Juhan Nam
    Preprints 2017, 2017110027 (doi: 10.20944/preprints201711.0027.v1)
    |PDF| |Demo|

  • BUILDING K-POP SINGING VOICE TAG DATASET: A PROGRESS REPORT
    KeunHyoung Luke Kim, Sangeun Kum, Chae Lin Park, Jongpil Lee, Jiyoung Park, Juhan Nam
    ISMIR2017, Late Breaking / Demos
    |PDF|

  • Combining Multi-scale Features Using Sample-level Deep Convolutional Neural Networks for Weakly Supervised Sound Event Detection
    Jongpil Lee, Jiyoung Park, Sangeun Kum, Youngho Jeong, Juhan Nam
    Detection and Classification of Acoustic Scenes and Events (DCASE) 2017
    |PDF|

  • MELODY EXTRACTION USING MULTI-COLUMN DEEP NEURAL NETWORKS (MIREX 2016)
    Sangeun Kum, Changheun Oh, Juhan Nam
    Music Information Retrieval Evaluation eXchange (MIREX 2016)
    |PDF|

  • MELODY EXTRACTION ON VOCAL SEGMENTS USING MULTI-COLUMN DEEP NEURAL NETWORKS
    Sangeun Kum, Changheun Oh, Juhan Nam
    17th International Society for Music Information Retrieval Conference, New York, USA, 2016
    |PDF| |GitHub| |slide|

  • 멜로디 추출 알고리즘으로 살펴보는 음악정보검색
    Sangeun Kum, Juhan Nam
    The Magazine of the IEEE, 43(5), 41-49.(korean)
    |PDF|

  • Investigation on Vocal Tags and Singer Similarity of K-pop (in Korean)
    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

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