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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.20220 |
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| _version_ | 1866917511978549248 |
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| author | Licciardi, Silvia Macchione, Daniela Caronna, Emmanuel Francomano, Elisa |
| author_facet | Licciardi, Silvia Macchione, Daniela Caronna, Emmanuel Francomano, Elisa |
| contents | 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 lagnerò 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_20220 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Advanced Scientific Methodology Plays Rossini Licciardi, Silvia Macchione, Daniela Caronna, Emmanuel Francomano, Elisa Sound Information Retrieval Machine Learning 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 lagnerò 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. |
| title | Advanced Scientific Methodology Plays Rossini |
| topic | Sound Information Retrieval Machine Learning |
| url | https://arxiv.org/abs/2605.20220 |