Somewhere amidst a piano keyboard, a dataset, and a Figma file—I haven’t yet found a universal definition—chasing connections between code, design, and music.

2026 © Sabrina Laneve

_researching musical patterns with computational musicology: The Diachronic Development of Debussy’s musical style

YEAR: 2022

STUDIO: DCML Lab

ROLE: [researcher] [concept designer] [music analyst] [data curator]

TOOLS: python, musescore, gsheet

TAGS: [digital musicology] [music analysis] [research] [digital music corpus]

Claude Debussy’s musical style is typically characterised as a departure from earlier diatonic tonality, including a greater variety of pitch-class materials organised in fragmented yet coherent compositions. Together with a research team at the Digital and Cognitive Musicology Lab (EPFL), I contributed to the analysis of diachronic trends in Debussy's stylistic evolution using computational methods. To this aim, A novel digital corpus of Debussy's entire solo piano repertoire was curated and analysed using Wavescapes, a DFT-based visualisation tool that reveals the prominence of tonal structures across multiple hierarchical levels, providing a sort of “harmonic fingerprint” of the music.

The study’s findings contribute to the understanding of the historical development of extended-tonal harmony, while representing a fertile testing ground for the interaction of computational, corpus-based methods with traditional music analytical approaches.

Achievements
✦ Best Poster Presentation at the IMA Maths in Music Conference
❋ Shown at the XIX International Conference of Music Analysis and Theory
✺ Published on Nature-HSSC

2026 © Sabrina Laneve

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