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Dasaem Jeong
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2020 – today
- 2024
- [j1]Pedro Ramoneda, Dasaem Jeong, Vsevolod Eremenko, Nazif Can Tamer, Marius Miron, Xavier Serra:
Combining piano performance dimensions for score difficulty classification. Expert Syst. Appl. 238(Part B): 121776 (2024) - [c13]Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam:
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. LREC/COLING 2024: 9974-9987 - [c12]Seungheon Doh, Minhee Lee, Dasaem Jeong, Juhan Nam:
Enriching Music Descriptions with A Finetuned-LLM and Metadata for Text-to-Music Retrieval. ICASSP 2024: 826-830 - [i15]Pedro Ramoneda, Minhee Lee, Dasaem Jeong, Jose J. Valero-Mas, Xavier Serra:
Can Audio Reveal Music Performance Difficulty? Insights from the Piano Syllabus Dataset. CoRR abs/2403.03947 (2024) - [i14]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models. CoRR abs/2404.06818 (2024) - [i13]Seungheon Doh, Jongpil Lee, Dasaem Jeong, Juhan Nam:
Musical Word Embedding for Music Tagging and Retrieval. CoRR abs/2404.13569 (2024) - [i12]Danbinaerin Han, Mark Gotham, Dongmin Kim, Hannah Park, Sihun Lee, Dasaem Jeong:
Six Dragons Fly Again: Reviving 15th-Century Korean Court Music with Transformers and Novel Encoding. CoRR abs/2408.01096 (2024) - [i11]Jiwoo Ryu, Hao-Wen Dong, Jongmin Jung, Dasaem Jeong:
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio Generation. CoRR abs/2408.01180 (2024) - [i10]Daewoong Kim, Hao-Wen Dong, Dasaem Jeong:
ViolinDiff: Enhancing Expressive Violin Synthesis with Pitch Bend Conditioning. CoRR abs/2409.12477 (2024) - [i9]SeungHeon Doh, Minhee Lee, Dasaem Jeong, Juhan Nam:
Enriching Music Descriptions with a Finetuned-LLM and Metadata for Text-to-Music Retrieval. CoRR abs/2410.03264 (2024) - 2023
- [c11]Danbinaerin Han, Daewoong Kim, Dasaem Jeong:
Aligning Incomplete Lyrics of Korean Folk Song Dataset using Whisper. DLfM 2023: 7-11 - [c10]Minhee Lee, Seungheon Doh, Dasaem Jeong:
Annotator Subjectivity in the MusicCaps Dataset. HCMIR@ISMIR 2023 - [c9]Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam:
A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles. ICASSP 2023: 1-5 - [c8]Danbinaerin Han, Rafael Caro Repetto, Dasaem Jeong:
Finding Tori: Self-Supervised Learning for Analyzing Korean Folk Song. ISMIR 2023: 440-447 - [c7]Pedro Ramoneda, Jose J. Valero-Mas, Dasaem Jeong, Xavier Serra:
Predicting Performance Difficulty From Piano Sheet Music Images. ISMIR 2023: 708-715 - [i8]Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam:
A study of audio mixing methods for piano transcription in violin-piano ensembles. CoRR abs/2305.13758 (2023) - [i7]Pedro Ramoneda, Dasaem Jeong, Vsevolod Eremenko, Nazif Can Tamer, Marius Miron, Xavier Serra:
Combining piano performance dimensions for score difficulty classification. CoRR abs/2306.08480 (2023) - [i6]Danbinaerin Han, Rafael Caro Repetto, Dasaem Jeong:
Finding Tori: Self-supervised Learning for Analyzing Korean Folk Song. CoRR abs/2308.02249 (2023) - [i5]Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam:
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling. CoRR abs/2309.11093 (2023) - [i4]Pedro Ramoneda, Jose J. Valero-Mas, Dasaem Jeong, Xavier Serra:
Predicting performance difficulty from piano sheet music images. CoRR abs/2309.16287 (2023) - 2022
- [c6]Pedro Ramoneda, Dasaem Jeong, Eita Nakamura, Xavier Serra, Marius Miron:
Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks. ACM Multimedia 2022: 6502-6510 - 2021
- [i3]Dasaem Jeong, Seungheon Doh, Taegyun Kwon:
TräumerAI: Dreaming Music with StyleGAN. CoRR abs/2102.04680 (2021) - 2020
- [c5]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. ISMIR 2020: 454-461 - [i2]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model. CoRR abs/2010.01104 (2020)
2010 – 2019
- 2019
- [c4]Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Juhan Nam:
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance. ICML 2019: 3060-3070 - [c3]Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee, Juhan Nam:
VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance. ISMIR 2019: 908-915 - 2018
- [c2]Dasaem Jeong, Taegyun Kwon, Juhan Nam:
A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings. ISMIR 2018: 120-127 - 2017
- [c1]Dasaem Jeong, Juhan Nam:
Note Intensity Estimation of Piano Recordings by Score-Informed NMF. Semantic Audio 2017 - [i1]Taegyun Kwon, Dasaem Jeong, Juhan Nam:
Audio-to-score alignment of piano music using RNN-based automatic music transcription. CoRR abs/1711.04480 (2017)
Coauthor Index
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last updated on 2024-11-14 00:57 CET by the dblp team
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