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Found 4 papers, 3 papers with code
Symbolic Music Representations for Classification Tasks: A Systematic Evaluation
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 discrete note events) in an image-like or language like fashion.
Roman Numeral Analysis with Graph Neural Networks: Onset-wise Predictions from Note-wise Features
Roman Numeral analysis is the important task of identifying chords and their functional context in pieces of tonal music.
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
Our approach builds a graph from a musical piece, by creating one node for every note, and separates the melodic trajectories by predicting a link between two notes if they are consecutive in the same voice/stream.
Cadence Detection in Symbolic Classical Music using Graph Neural Networks
In this work, we present a graph representation of symbolic scores as an intermediate means to solve the cadence detection task.
