PianoKontext renders expressive piano performances from deadpan scores using flow matching in Music2Latent latent space with DTW alignment for paired training data.
Automatic Note-Level Scoreto-Performance Alignments in the ASAP Dataset
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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
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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.
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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.
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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.