Analyzing Music with tuneR and seewave

In this meetup Yeng Chang will cover how we can use R to generate spectrograms for musical excerpts, what spectrograms can tell us about music, how music theory supports observations that we can find from spectrograms, and topics that should be explored for working with musical data. Even if you are not a musician this should be an interesting presentation with wider applications.

Yeng is a data scientist at the Wisconsin Department of Public Instruction and a musician. He has a Bachelor's in Mathematics and is working on a Master's in Statistics from Iowa State University.