Preserving Somali Music with AI.
Exploring the intersection of generative AI, cultural heritage, and algorithmic sound.
From Cassette Tapes to
Neural Networks
My flagship project, QaraamiGen AI, uses deep learning to analyze decades of traditional Oud recordings. It doesn't just replicate sound; it understands the Qaraami (scales) to generate new compositions that honor the past.
Somali Synth V2
Generated • 2025
Why Computational Music?
Innovation
Pushing boundaries, exploring new sonic territories that emerge from the convergence of music theory and computational power.
Preservation
Using technology to safeguard and revitalize musical traditions. AI provides a powerful tool for cultural continuity.
Expression
Computation is a new medium for artistic expression, enabling musicians to explore previously unimaginable sonic palettes.
SOMALI MUSIC HEROES
My passion for computational music is deeply intertwined with my cultural roots and appreciation for traditional Somali music, especially the rich sounds of the Oud. This project is a step towards exploring how technology can serve as a bridge to understand, create, and preserve diverse musical heritages.
Qaraami (Subcis)
Ahmed Ismail “Hudeidi”
Abdillahi Qarshe
Eda Kuhn Loeb Music Library
"The future of music lies at the intersection of human creativity and machine intelligence."
— A guiding principle in my pursuit of the Master of Science in Music Technology and Computation.