Sonalyzer-Moz: A Framework for Analyzing the Structure of Mozart's Sonata Form
Jing Zhao, KokSheik Wong, Vishnu Monn Baskaran, Kiki Adhinugraha, David Taniar

TL;DR
This paper introduces Sonalyzer-Moz, a new framework for automatic analysis of Mozart's sonata form, supported by a large annotated dataset, advancing the understanding of complex classical music structures.
Contribution
It provides the first large-scale dataset with hierarchical annotations and a baseline model for automatic sonata form analysis, enabling systematic research.
Findings
Sonalyzer-Moz effectively identifies upper-level structural boundaries.
The dataset facilitates systematic analysis of classical music structures.
The framework demonstrates the feasibility of automatic sonata form analysis.
Abstract
The sonata form is a musically rich and hierarchically structured form that poses significant challenges for automatic analysis. While music structure analysis has seen strides of progress in recent years, sonata form analysis remains in its early stages. This is largely due to the time-consuming and high barrier of the music background requirement for annotating classical music structures. To advance research in this area, we curated SoSA-Moz, the first large-scale dataset featuring comprehensive hierarchical structure annotations. This work establishes a foundation for systematic sonata form analysis. Leveraging this newly contributed resource, we further propose Sonalyzer-Moz, a baseline model specifically designed for investigating complex sonata structures. This framework integrates feature aggregation with sequential modeling, enabling it to capture both local feature and…
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