6 citations · 19 across the 24 of their papers we have counts for
Showing eess.ASShow all
2 papers · 1 filter
eess.AS2024
Cluster and Separate: a GNN Approach to Voice and Staff Prediction for Score Engraving
Francesco Foscarin, Emmanouil Karystinaios, Eita Nakamura +1
This paper approaches the problem of separating the notes from a quantized symbolic music piece (e.g., a MIDI file) into multiple voices and staves. This is a fundamental part of t…
eess.AS2023★ 3 cited
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation
Huan Zhang, Emmanouil Karystinaios, Simon Dixon +2
Music Information Retrieval (MIR) has seen a recent surge in deep learning-based approaches, which often involve encoding symbolic music (i.e., music represented in terms of discre…