The paper extends the Match file format with virtual pointer notes and expanded section annotations to support non-unique and semantically complex note alignments in music.
Automatic Note-Level Scoreto-Performance Alignments in the ASAP Dataset
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
years
2026 5verdicts
UNVERDICTED 5representative citing papers
PianoKontext renders expressive piano performances from deadpan scores using flow matching in Music2Latent latent space with DTW alignment for paired training data.
Rubato model with InterMo representation outperforms cascade methods in generating timestamped piano sheet music from audio, even when cascades receive ground-truth MIDI.
Cosmodoit is a modular Python package that pipelines performance-to-score alignment with symbolic and audio feature extraction to enable efficient, dependency-aware processing of performed music.
RenCon 2025 revived the expressive performance rendering competition, attracting nine diverse systems whose online and live evaluations showed measurable advances alongside persistent gaps to human-level musical expression.
citing papers explorer
-
A Flexible Encoding Model for Non-Unique Note Alignments
The paper extends the Match file format with virtual pointer notes and expanded section annotations to support non-unique and semantically complex note alignments in music.
-
PianoKontext: Expressive Performance Rendering from Deadpan Context
PianoKontext renders expressive piano performances from deadpan scores using flow matching in Music2Latent latent space with DTW alignment for paired training data.
-
Rubato: Transcribing Piano Music with Timestamps
Rubato model with InterMo representation outperforms cascade methods in generating timestamped piano sheet music from audio, even when cascades receive ground-truth MIDI.
-
Cosmodoit: A Python Package for Adaptive, Efficient Pipelining of Feature Extraction from Performed Music
Cosmodoit is a modular Python package that pipelines performance-to-score alignment with symbolic and audio feature extraction to enable efficient, dependency-aware processing of performed music.
-
RenCon 2025: Revival of the Expressive Performance Rendering Competition
RenCon 2025 revived the expressive performance rendering competition, attracting nine diverse systems whose online and live evaluations showed measurable advances alongside persistent gaps to human-level musical expression.