HumdrumR tutorials

This repository contains tutorial materials for humdrumR: an R-package for computational musicology research.

• Nat Condit-Schultz
• Computational and Cognitive Musicology Lab
• Georgia Tech, School of Music

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.
• A simple humdrum version of the Saraga dataset of Indian art music.
  • Specifically, the estimated fundamental frequency (F0) contour from 12 vocal performances from Saraga.

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.