フォロー
Dasaem Jeong
タイトル
引用先
引用先
VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance
D Jeong, T Kwon, Y Kim, K Lee, J Nam
20th International Society for Music Information Retrieval Conference (ISMIR), 2019
482019
Graph neural network for music score data and modeling expressive piano performance
D Jeong, T Kwon, Y Kim, J Nam
International Conference on Machine Learning (ICML), 3060-3070, 2019
472019
Audio-to-score alignment of piano music using RNN-based automatic music transcription
T Kwon, D Jeong, J Nam
14th Sound and Music Computing Conference (SMC), 2017
332017
Polyphonic piano transcription using autoregressive multi-state note model
T Kwon, D Jeong, J Nam
21st International Society for Music Information Retrieval Conference (ISMIR), 2020
142020
Score and Performance Features for Rendering Expressive Music Performances
D Jeong, T Kwon, Y Kim, J Nam
Music Encoding Conference 2019, 2019
122019
TräumerAI: Dreaming Music with StyleGAN
D Jeong, S Doh, T Kwon
NeurIPS 2020 Workshop: Machine Learning for Creativity and Design, 2020
112020
Note intensity estimation of piano recordings by score-informed nmf
D Jeong, J Nam
Audio Engineering Society Conference: 2017 AES International Conference on …, 2017
112017
Visualizing Music in its Entirety using Acoustic Features: Music Flowgram
D Jeong, J Nam
2nd International Conference on Technologies for Music Notation and …, 2016
82016
Note-intensity estimation of piano recordings using coarsely aligned midi score
D Jeong, T Kwon, J Nam
Journal of the Audio Engineering Society 68 (1/2), 34-47, 2020
72020
VirtuosoNet: A Hierarchical Attention RNN for Generating Expressive Piano Performance from Music Score
D Jeong, T Kwon, J Nam
NeurIPS 2018 Workshop on Machine Learning for Creativity and Design, 2018
62018
PerformScore: TOWARD PERFORMANCE VISUALIZATION WITH THE SCORE ON THE WEB BROWSER
D Jeong, T Kwon, C Park, J Nam
Late Breaking / Demo in The 18th International Society for Music Information …, 2017
62017
Automatic piano fingering from partially annotated scores using autoregressive neural networks
P Ramoneda, D Jeong, E Nakamura, X Serra, M Miron
Proceedings of the 30th ACM International Conference on Multimedia, 6502-6510, 2022
52022
A Timbre-based Approach To Estimate Key Velocity From Polyphonic Piano Recordings
D Jeong, T Kwon, J Nam
19th International Society for Music Information Retrieval Conference (ISMIR), 2018
52018
Combining piano performance dimensions for score difficulty classification
P Ramoneda, D Jeong, V Eremenko, NC Tamer, M Miron, X Serra
Expert Systems with Applications 238, 121776, 2024
22024
Real-time Automatic Piano Music Transcription System
D Jeong
Late Breaking / Demo (LBD) of 21st International Society for Music …, 2020
22020
Predicting performance difficulty from piano sheet music images
P Ramoneda, JJ Valero-Mas, D Jeong, X Serra
arXiv preprint arXiv:2309.16287, 2023
12023
Finding Tori: Self-supervised Learning for Analyzing Korean Folk Song
D Han, RC Repetto, D Jeong
24th International Society for Music Information Retrieval Conference (ISMIR), 2023
12023
A study of audio mixing methods for piano transcription in violin-piano ensembles
H Kim, J Park, T Kwon, D Jeong, J Nam
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
12023
Music visualization using volume graph and its effect on classical music listening
D Jeong, YH Noh
9th Conference on Interdisciplinary Musicology-CIM14, 2014
12014
Can Audio Reveal Music Performance Difficulty? Insights from the Piano Syllabus Dataset
P Ramoneda, M Lee, D Jeong, JJ Valero-Mas, X Serra
arXiv preprint arXiv:2403.03947, 2024
2024
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