Note Intensity Estimation of Piano Recordings by Score-Informed NMF. - Dasaem Jeong; Juhan Nam (Semantic Audio, 2017)

Audio-to-score alignment of piano music using RNN-based automatic music transcription. - Taegyun Kwon; Dasaem Jeong; Juhan Nam (CoRR, 2017)

A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings. - Dasaem Jeong; Taegyun Kwon; Juhan Nam (ISMIR, 2018)

Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance. - Dasaem Jeong; Taegyun Kwon; Yoojin Kim; Juhan Nam (ICML, 2019)

VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance. - Dasaem Jeong; Taegyun Kwon; Yoojin Kim; Kyogu Lee; Juhan Nam (ISMIR, 2019)

Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. - Taegyun Kwon; Dasaem Jeong; Juhan Nam (ISMIR, 2020)

TräumerAI: Dreaming Music with StyleGAN. - Dasaem Jeong; Seungheon Doh; Taegyun Kwon (CoRR, 2021)

Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks. - Pedro Ramoneda; Dasaem Jeong; Eita Nakamura; Xavier Serra; Marius Miron (ACM Multimedia, 2022)

Aligning Incomplete Lyrics of Korean Folk Song Dataset using Whisper. - Danbinaerin Han; Daewoong Kim; Dasaem Jeong (DLfM, 2023)

Annotator Subjectivity in the MusicCaps Dataset. - Minhee Lee; Seungheon Doh; Dasaem Jeong (HCMIR@ISMIR, 2023)

A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles. - Hyemi Kim; Jiyun Park; Taegyun Kwon; Dasaem Jeong; Juhan Nam (ICASSP, 2023)

Finding Tori: Self-Supervised Learning for Analyzing Korean Folk Song. - Danbinaerin Han; Rafael Caro Repetto; Dasaem Jeong (ISMIR, 2023)

Predicting Performance Difficulty From Piano Sheet Music Images. - Pedro Ramoneda; Jose J. Valero-Mas; Dasaem Jeong; Xavier Serra (ISMIR, 2023)

K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. - Haven Kim; Jongmin Jung; Dasaem Jeong; Juhan Nam (LREC/COLING, 2024)

Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval. - Seungheon Doh; Minhee Lee; Dasaem Jeong; Juhan Nam (ICASSP, 2024)

Six Dragons Fly Again: Reviving 15th-Century Korean Court Music With Transformers and Novel Encoding. - Danbinaerin Han; Mark R. H. Gotham; Dongmin Kim; Hannah Park; Sihun Lee; Dasaem Jeong (ISMIR, 2024)

Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio Generation. - Jiwoo Ryu; Hao-Wen Dong; Jongmin Jung; Dasaem Jeong (ISMIR, 2024)

Can Audio Reveal Music Performance Difficulty? Insights from the Piano Syllabus Dataset. - Pedro Ramoneda; Minhee Lee; Dasaem Jeong; Jose J. Valero-Mas; Xavier Serra (CoRR, 2024)

Musical Word Embedding for Music Tagging and Retrieval. - Seungheon Doh; Jongpil Lee; Dasaem Jeong; Juhan Nam (CoRR, 2024)

Towards Computational Analysis of Pansori Singing. - Sangheon Park; Danbinaerin Han; Dasaem Jeong (CoRR, 2024)

MusicGen-Chord: Advancing Music Generation through Chord Progressions and Interactive Web-UI. - Jongmin Jung; Andreas Jansson 001; Dasaem Jeong (CoRR, 2024)

Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models. - Taegyun Kwon; Dasaem Jeong; Juhan Nam (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Combining piano performance dimensions for score difficulty classification. - Pedro Ramoneda; Dasaem Jeong; Vsevolod Eremenko; Nazif Can Tamer; Marius Miron; Xavier Serra (Expert Syst. Appl., 2024)

ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning. - Daewoong Kim; Hao-Wen Dong; Dasaem Jeong (ICASSP, 2025)

Boundary Regression for Leitmotif Detection in Music Audio. - Sihun Lee; Dasaem Jeong (CoRR, 2025)

LAV: Audio-Driven Dynamic Visual Generation with Neural Compression and StyleGAN2. - Jongmin Jung; Dasaem Jeong (CoRR, 2025)

Unified Cross-modal Translation of Score Images, Symbolic Music, and Performance Audio. - Jongmin Jung; Dongmin Kim; Sihun Lee; Seola Cho; Hyungjoon Soh; Irmak Bukey; Chris Donahue; Dasaem Jeong (CoRR, 2025)