SMT MIG 2024

This repository contains material from the Society of Music Theory's Music Informatics Interest Group (MIIG) meeting, at our 2024 national conference in Jacksonville, Florida.

The materials include two presentation/workshops related to methodological concerns in computational music theory:

• Representing Musical Objects as Data
  • Nat Condit-Schultz
  • Computational and Cognitive Musicology Lab
  • Georgia Tech, School of Music
• Representetive Sampling of Music
  • Nick Shea (MIIG Chair)
  • CACTUS Music Lab
  • Arizona State University, School of Music, Dance and Theatre

This repo can be accessed and played with in this posit cloud "sandbox" environment.

Data

Several humdrum-formatted datasets are included in the repo:

• **kern encodings of 371 Chorales by J.S. Bach.
• The CoCoPops dataset of 20th-century rock/pop transcriptions.

Software

In Nat's presentation, I will use humdrumR: an R-package for computational musicology.

Content

This repo contains three subdirectories:

• Data, which contains two sets of humdrum data.
• Slides, which contains .Rmd-based reveal-js presentations.
• Tutorials, which contains .Rmd-based code tutorials.

If you look at this repo via the posit cloud workspace, you can look at our slide-decks and/or try out tutorials right in your browser. Simply open a .Rmd file from either the Slides or Tutorials directories, and click the "Run Document" or "Render" button.