How computers uncover the hidden patterns within musical history
Explore the intersection of computation and musicology. This lecture demonstrates how large-scale data analysis can reveal structural secrets within diverse musical traditions, from Bach chorales to Irish folk songs.
In this session of MIT's Computational Music Theory and Analysis, instructor Michael Scott Asato Cuthbert examines the mechanics of analyzing large musical corpora. The lecture provides a practical look at using the music21 toolkit to navigate vast datasets, including OpenScore Lieder, Bach chorales, and Irish folk music.
Beyond statistical analysis, the session addresses fundamental musical concepts such as inversion and provides detailed guidance on tackling complex computational problems presented in recent coursework.
Source: Class 13 Video: Corpus Studies and Statistics
