In the Computational and Cognitive Musicology Lab, we aim to answer questions about musical structure and organization, and how people respond to those structures. We look for new ways to build, organize, distribute, and analyze musical data, while aiming to build user-friendly technologies to assist scholars, educators, and music lovers. Our research is rooted in the fields of music cognition and computational musicology, but intersects with music information retrieval, music generation, music theory, and many other applications of music technology.

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The CCMLab consists primarily of students in the Georgia Tech School of Music, and is led by faculy co-PIs Claire Arthur and Nat Condit-Schultz. Most recent lab photo