11 citations · 26 across the 14 of their papers we have counts for
5 papers · 1 filter
Predicting performance difficulty from piano sheet music images
Pedro Ramoneda, Jose J. Valero-Mas, Dasaem Jeong +1
Estimating the performance difficulty of a musical score is crucial in music education for adequately designing the learning curriculum of the students. Although the Music Informat…
K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
Haven Kim, Jongmin Jung, Dasaem Jeong +1
Lyric translation, a field studied for over a century, is now attracting computational linguistics researchers. We identified two limitations in previous studies. Firstly, lyric tr…
Finding Tori: Self-supervised Learning for Analyzing Korean Folk Song
Danbinaerin Han, Rafael Caro Repetto, Dasaem Jeong
In this paper, we introduce a computational analysis of the field recording dataset of approximately 700 hours of Korean folk songs, which were recorded around 1980-90s. Because mo…
Combining piano performance dimensions for score difficulty classification
Pedro Ramoneda, Dasaem Jeong, Vsevolod Eremenko +3
Predicting the difficulty of playing a musical score is essential for structuring and exploring score collections. Despite its importance for music education, the automatic difficu…
A study of audio mixing methods for piano transcription in violin-piano ensembles
Hyemi Kim, Jiyun Park, Taegyun Kwon +2
While piano music transcription models have shown high performance for solo piano recordings, their performance degrades when applied to ensemble recordings. This study aims to ana…