Structure is one of the most essential aspects of music, and music structure is commonly
indicated through repetition. However, the nature of repetition and structure in music is still …

Musical co-creativity aims at making humans and computers collaborate to compose music.
As an MIR team in computational musicology, we experimented with co-creativity when …

Cadences are complex structures that have been driving music from the beginning of
contrapuntal polyphony until today. Detecting such structures is vital for numerous MIR tasks …

Repetition is a basic indicator of musical structure. This study introduces new algorithms for
identifying musical phrases based on repetition. Phrases combine to form sections yielding …

Repetition and structure have a significant place in music theory, but the structure hierarchy
and its influences are often ignored in both music analysis and music generation. In this …

Graph Neural Networks (GNNs) have recently gained traction in symbolic music tasks, yet a
lack of a unified framework impedes progress. Addressing this gap, we present GraphMuse …

Modulations, the moments where key change, are structurally important in tonal music.
Analyzing music, especially studying large-scale music structure of a piece, often implies to …

Musical scores are generally analyzed under different aspects, notably melody, harmony,
rhythm, but also through their texture, although this last concept is arguably more delicate to …

In this work, we present Score MUsic Graph (SMUG)-Explain, a framework for generating
and visualizing explanations of graph neural networks applied to arbitrary prediction tasks …

Music Structure Analysis is an open research task in Music Information Retrieval (MIR). In
the past, there have been several works that attempt to segment music into the audio and …