2024

  • K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
    • Haven Kim, Jongmin Jung, Dasaem Jeong, and Juhan Nam
    • Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), (accepted) [arxiv]
  • Enriching Music Descriptions With A Finetuned-LLM And Metadata For Text-to-music Retrieval
    • SeungHeon Doh, Minhee Lee, Dasaem Jeong, and Juhan Nam
    • Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), (accepted)

2023

  • Finding Tori: Self-supervised Learning for Analyzing Korean Folk Song
    • Danbinaerin Han, Rafael Caro Repetto, and Dasaem Jeong
    • Proceedings of 24th International Society for Music Information Retrieval Conference (ISMIR) [arxiv], [code], [demo]
  • Predicting Performance Difficulty from Piano Sheet Music Images
    • Pedro Ramoneda, Jose J. Valero-Mas, Dasaem Jeong, and Xavier Serra
    • Proceedings of 24th International Society for Music Information Retrieval Conference (ISMIR) [pdf]
  • Combining Piano Performance Dimensions for Score Difficulty Classification
    • Pedro Ramoneda, Dasaem Jeong, Vsevolod Eremenko, Nazif Can Tamer, Marius Miron, Xavier Serra
    • Expert Systems with Applications [html]
  • Aligning Incomplete Lyrics of Korean Folk Song Dataset using Whisper
    • Danbinaerin Han, Daewoong Kim, and Dasaem Jeong
    • Proceedings of 10th International Conference on Digital Libraries for Musicology (DLfM), [html]
  • Annotator Subjectivity in the MusicCaps Dataset
    • Minhee Lee, Seungheon Doh and Dasaem Jeong
    • 2nd Workshop on Human-Centric Music Information Research (HCMIR23) [pdf]
  • AutoOsu: Audio-Aware Action Generation for Rhythm Games
    • Sihun Lee and Dasaem Jeong
    • Late Breaking/Demo (LBD) of 24th International Society for Music Information Retrieval Conference (ISMIR) [pdf]
  • Teaching Chorale Generation Model to Avoid Parallel Motions
    • Eunjin Choi, Hyerin Kim, Juhan Nam, and Dasaem Jeong
    • Proceedings of 16th International Symposium on Computer Music Multidisciplinary Research (CMMR) [pdf]
  • Construction of Debiased Korean AI Fairytale Generator
    • Jiin An, Saetbyeol Leeyouk, Yewon Jang, and Dasaem Jeong
    • Journal of Digital Contents Society, Vol. 24, No. 7, pp. 1513-1528, 2023. [html]
  • VirtuosoTune: Hierarchical Melody Language Model
    • Dasaem Jeong
    • IEIE Transactions on Smart Processing & Computing, Vol. 12, No. 4, pp. 329-333, 2023. [pdf]
  • Reducing Latency of Neural Automatic Piano Transcription Models
    • Dasol Lee and Dasaem Jeong
    • The Journal of the Acoustical Society of Korea Volume 42 Issue 2, 2023. [html]
  • Fantastic AI Sinawi: 심층신경망 기반 국악 선율 작곡을 활용한 시나위 창작 (Composing Korean Traditional Music using Deep Neural Network)
    • Hannah Park, Danbinaerin Han, Chaeryeong Oh, and Dasaem Jeong
    • Journal of Digital Contents Society, Vol. 24, No. 4, pp. 785-796, 2023. [html]
  • A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles
    • Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, and Juhan Nam
    • Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 [pdf]

2022

  • Automatic Piano Fingering from Partially Annotated Scores Using Autoregressive Neural Networks
    • Pedro Ramoneda, Dasaem Jeong, Eita Nakamura, Xavier Serra, and Marius Miron
    • Proceddings of 30th ACM International Conference on Multimedia (MM’22), 2022, [pdf]

Before MALer

Journal Articles

  • Note-Intensity Estimation of Piano Recordings Using Coarsely Aligned MIDI Score
    • Dasaem Jeong, Taegyun Kwon, and Juhan Nam
    • Journal of the Audio Engineering Society Volume 68 Issue 1/2, 2020, [pdf]

Peer-reviewed Conference Articles

  • Polyphonic Piano Transcription Using Autoregressive Multi-state Note Model
    • Taegyun Kwon, Dasaem Jeong, and Juhan Nam
    • Proceedings of 21st International Society for Music Information Retrieval Conference (ISMIR), 2020, [pdf] [demo]
  • VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performances
    • Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee, and Juhan Nam
    • Proceedings of 20th International Society for Music Information Retrieval Conference (ISMIR) 2019, [pdf]
  • Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
    • Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
    • Proceedings of the 36th International Conference on Machine Learning (ICML), 2019 [pdf]
  • A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings
    • Dasaem Jeong, Taegyun Kwon, and Juhan Nam
    • Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018 [pdf]
  • 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 (SMC), 2017 [pdf] [demo]
  • 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 [pdf]
  • 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] [demo]

Workshop and Musicology Articles

  • TräumerAI: Dreaming Music With StyleGAN
    • Dasaem Jeong, Seungheon Doh, and Taegyun Kwon
    • Workshop on Machine Learning for Creativity and Design, Neural Information Processing Systems (NeurIPS), 2020 [pdf] [code] [demo]
  • Real-time Automatic Piano Music Transcription System
    • Dasaem Jeong
    • Late Breaking/Demo in the 21st International Society for Musical Information Retrieval Conference (ISMIR), 2020 [pdf] [code]
  • Score and Performance Features for Rendering Expressive Music Performances
    • Dasaem Jeong, Taegyun Kwon, Yoojin Kim, and Juhan Nam
    • Proceedings of the Music Encoding Conference (MEC), 2019 [pdf]
  • VirtuosoNet: A Hierarchical Attention RNN for Generating Expressive Piano Performance from Music Score
    • Dasaem Jeong, Taegyun Kwon, and Juhan Nam
    • Workshop on Machine Learning for Creativity and Design, Neural Information Processing Systems (NeurIPS), 2018 [pdf]
  • PerformScore: Toward Performance Visualization With the Score on the Web Browser
    • Dasaem Jeong, Taegyun Kwon, Chaelin Park and Juhan Nam
    • Late Breaking Demo in the 18th International Society for Musical Information Retrieval Conference (ISMIR), 2017 [pdf]
  • 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 [pdf]
  • Melodic and Harmonic Similarity for Music Plagiarism: Comparison between computational analysis and perceptual evaluation
    • Saebyul Park, Seunghun Kim, Dasaem Jeong, Juhan Nam and Jeounghoon Kim
    • Proceedings of the Society for Music Perception and Cognition (SMPC), 2015
  • Music Visualization Using Volume Graph and its Effect on Classical Music Listening
    • Dasaem Jeong and Younghae Noh
    • Proceedings of the 9th Conference on Interdisciplinary Musicology (CIM), 2014
  • Correlation between Music, Stage Direction, and Technology in Wagner’s Ring Cycle (바그너의 니벨룽의 반지에서 살펴본 음악과 연출과 기술의 상관관계)
    • Dasaem Jeong
    • Proceedings of the 69th Symposium of the Musicological Society of Korea, 2013

Patent (in Korea)

  • Valve Opening and Shutting Type Brass Instrument Automatic Correction Helper (밸브 개폐식 금관악기 자동 음정 보정 장치)
    • Youngjin Park, Sangmin Baek, Dasaem Jeong, Minju Kang, Chanho Park, Sangeon Lee, Jeongin Jang
    • Patent No. 10-1392182 (2014.04.29)