Music and Data Science: What Can We Teach Machines About Music?
Join the Data Science Program for a presentation by Richard Freedman, Professor of Music and John C. Whitehead '43 Professor of Humanities at Haverford College
Music, according to the ancient Roman statesman and philosopher Severinus Boethius, was "number in sound." Indeed, the affinities of music and mathematics are almost everywhere we look (and listen), from systems of tuning to the rules of counterpoint and harmony. But in the last several years, the burgeoning world of digital musical scholarship has opened some important ways for us to reflect on music as data—how we can encode it, analyze it, and interrogate it in novel ways. For these modes of inquiry to be meaningful, we will first need to pose a more basic question: what, exactly, can we hope to teach a machine about music?
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