contextual embeddings 1expressive performance evaluation 1kernel methods 1self-supervised learning 1symbolic music 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.SD2026
Integrating Contextual Embeddings into Evaluation of Expressive MIDI Piano Performances
Dmitrii Gavrilev, Ilya Borovik, Vladimir Viro
The paper proposes using contextual embeddings from self‑supervised symbolic music models to evaluate expressive MIDI piano performances, showing that these embeddings align with h…
cs.SD2026
PianoCoRe: Combined and Refined Piano MIDI Dataset
Ilya Borovik
Symbolic music datasets with matched scores and performances are essential for many music information retrieval (MIR) tasks. Yet, existing resources often cover a narrow range of c…
cs.SD2025
SyMuPe: Affective and Controllable Symbolic Music Performance
Ilya Borovik, Dmitrii Gavrilev, Vladimir Viro
Emotions are fundamental to the creation and perception of music performances. However, achieving human-like expression and emotion through machine learning models for performance…