Code and data produced in 2023 by Tierra Abeyta as part of a Digital Humanities Placement project.
This repo includes:
- an in-depth write up on the purpose of this project, the importance of sonification (particularly of heritage data), and sonification methods/considerations
- a codebook adapted from Matt Russo's sonification guide, with additional code, comments, and explanations. A runable version of this codebook as also been adapted for and published on Google Colab
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- a codebook showing how I made my data cumulative
- my initial data sonification audio file
- my final audio file after being edited in FL Studio
- a supplementary video project I created using two image sonifications made using a separate program and code (made for the University of Southampton Digital Humanities' 360° immersive audio-visual Igloo screen).
This repo was created to be a sonification guide for people without a background in coding. In the supplementary write up, I go into detail on the value of sonification as a tool for data representation, particularly with heritage data, and the inaccessibility of many sonification guides to non-coders. Ultimately, it's meant to serve as the sort of resource I wish I had when I began my project.
This is also intended to showcase my final sonifications completed during my project.
The original sonification code in this repo was taken from Matt Russo's Sonification with Python – How to Turn Data Into Music. I then adapted the code to my own data and added additional comments to explain things I found confusing or how I resolved errors.
For my data set sonification, I followed Russo's guide using Python in Jupyter Notebook. I edited the original midi file in FL Studio.
For my image sonifications, I used the JythonMusic environment. My images were taken from the BBC.
This repo was created in 2023 by Tierra Abeyta as part of a placement project with Southampton Digital Humanities for ARCH6413 Professional Placement in the Archaeological and Cultural Heritage Sector. Code in this repo is released under a MIT License license (exceptions: © marked images, third party data, embeds to and from external sources).