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Area Engineering
Mapping the Neighborhood of Microtonal Music Scales Using Self-Organizing Maps to Enhance Modulation Techniques and Discover Innovative Shifts
Reference persons CRISTINA EMMA MARGHERITA ROTTONDI
Description Microtonal scales offer unique intervals beyond conventional semitones,
creating opportunities for innovative modulation techniques. This thesis
utilizes Self-Organizing Maps (SOMs) to map these scales' neighborhoods,
revealing new pathways for smoother tonal transitions and discovering
novel key signature shifts. By visualizing complex relationships within
a diverse dataset of microtonal scales, the research provides fresh
insights into harmonic structures and modulation possibilities.
The application of SOMs transforms high-dimensional microtonal data into
an intuitive two-dimensional map, uncovering patterns and clusters that
facilitate the identification of innovative modulation strategies. This
approach challenges traditional harmonic concepts, offering composers
new tools for creative expression and expanding their harmonic palette.
The outcomes include a comprehensive visualization of microtonal scales,
new modulation pathways, and key signature shifts that enrich
compositional possibilities. An interactive tool developed as part of
the research enables musicians to experiment with these findings,
providing practical resources for real-world application. Overall, the
thesis advances music theory and practice, laying a foundation for
further exploration in microtonality and its innovative applications in
contemporary music.
Deadline 05/08/2025
PROPONI LA TUA CANDIDATURA