English

Advanced Scientific Methodology Plays Rossini

Sound 2026-05-21 v1 Information Retrieval Machine Learning

Abstract

A musical score provides the essential instructions for its performance while containing indications - at times implicit - regarding the composer's intentions. The presence of authorial variants, and even more so complex series of revisions associated with a single text, presents a challenging path for analytical study. This research, situated within the application of Scientific Methodologies to Music Philology, proposes a methodological approach oriented toward the structural analysis of one of the many settings composed by Gioachino Rossini on the same Metastasio arietta ``Mi lagner\`o tacendo''. Through Computational Analysis - incorporating parsing, data mining, and graph theory - the melodic, harmonic, and textual compositional choices have been rigorously explored. The results constitute a significant unicum in the field, laying the foundation for a systematic study that supports philological research and paves the way for the use of generative models to investigate the creative process.

Keywords

Cite

@article{arxiv.2605.20220,
  title  = {Advanced Scientific Methodology Plays Rossini},
  author = {Silvia Licciardi and Daniela Macchione and Emmanuel Caronna and Elisa Francomano},
  journal= {arXiv preprint arXiv:2605.20220},
  year   = {2026}
}