Kousha Nikkar
Mapping the Neighborhood of Microtonal Music Scales Using Self-Organizing Maps to Enhance Modulation Techniques and Discover Innovative Shifts.
Rel. Cristina Emma Margherita Rottondi. Politecnico di Torino, Master of science program in Ict For Smart Societies, 2025
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Abstract
This study presents a novel method for mapping music scales in two dimensions, incorporating microtones, using a self-organizing map. Modulation, key to shaping emotional experience, relies on interval similarities in Iranian music’s Radif. This research systematically explores key and Gushe relationships, considering microtonal variations and the Shahed note as an emotional anchor. The self organazing map algorithm was utilized to cluster eight distinct interval patterns spanning both Western and Persian musical theories based on variations in tonic and dominant notes, along with their microtones states. A total of 1,176 musical scale states were systematically generated and clustered, incorporating semi-tonic and microtonic variations.
The training of self organizing map ensured both the representation of known scales and the emergence of new, previously unexplored patterns
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