Cillian Power
Project Overview
This project explored how data analysis can support music production in unfamiliar genres. It identified which musical features can be reliably extracted using MIR tools, and where current technology falls short. The findings offer a framework for building future toolkits that combine measurable audio data with expert insight to guide genre-specific production.
Thesis: Assessing the Feasibility of Data-Driven Production Toolkits for Niche and Emerging Musical Subgenres
Cillian Power
BA (Hons) Creative Music Production
I am a music producer with a strong interest in audio software and emerging technologies in sound analysis. My recent work explored data-driven methods for supporting genre-specific music production, combining MIR tools with hands-on experimentation.
