Dasaem Jeong

According to our database, Dasaem Jeong authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., March, 2024

Musical Word Embedding for Music Tagging and Retrieval.

Seungheon Doh, Jongpil Lee, Dasaem Jeong, Juhan Nam

CoRR, 2024

Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models.

Taegyun Kwon, Dasaem Jeong, Juhan Nam

CoRR, 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

K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling.

Haven Kim, Jongmin Jung, Dasaem Jeong, Juhan Nam

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Predicting Performance Difficulty From Piano Sheet Music Images.

Pedro Ramoneda, Jose J. Valero-Mas, Dasaem Jeong, Xavier Serra

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Finding Tori: Self-Supervised Learning for Analyzing Korean Folk Song.

Danbinaerin Han, Rafael Caro Repetto, Dasaem Jeong

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

A Study of Audio Mixing Methods for Piano Transcription in Violin-Piano Ensembles.

Hyemi Kim, Jiyun Park, Taegyun Kwon, Dasaem Jeong, Juhan Nam

Proceedings of the IEEE International Conference on Acoustics, 2023

Annotator Subjectivity in the MusicCaps Dataset.

Minhee Lee, Seungheon Doh, Dasaem Jeong

Proceedings of the 2nd Workshop on Human-Centric Music Information Retrieval 2023 co-located with the 24th International Society for Music Information Retrieval Conference (ISMIR 2023), 2023

Aligning Incomplete Lyrics of Korean Folk Song Dataset using Whisper.

Danbinaerin Han, Daewoong Kim, Dasaem Jeong

Proceedings of the 10th International Conference on Digital Libraries for Musicology, 2023

2022

Automatic Piano Fingering from Partially Annotated Scores using Autoregressive Neural Networks.

Pedro Ramoneda, Dasaem Jeong, Eita Nakamura, Xavier Serra, Marius Miron

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021

TräumerAI: Dreaming Music with StyleGAN.

Dasaem Jeong, Seungheon Doh, Taegyun Kwon

CoRR, 2021

2020

Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model.

Taegyun Kwon, Dasaem Jeong, Juhan Nam

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

2019

VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance.

Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee, Juhan Nam

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance.

Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Juhan Nam

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings.

Dasaem Jeong, Taegyun Kwon, Juhan Nam

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

2017

Audio-to-score alignment of piano music using RNN-based automatic music transcription.

Taegyun Kwon, Dasaem Jeong, Juhan Nam

CoRR, 2017

Note Intensity Estimation of Piano Recordings by Score-Informed NMF.

Dasaem Jeong, Juhan Nam

Proceedings of the AES International Conference Semantic Audio 2017, 2017