Data Science

Data sonification is the representation of data with sound. It can be the first step in data-driven music composition and song-writing, or can be used in information processing. In this workshop I'll introduce the concept of data sonification, show examples of how we have used it to create engaging music and infosonics about climate science, and give a short tutorial on how to sonify a simple dataset using python and garage band.

We introduce 'voice' package, developed to be a free and easy-to-use set of tools to perform audio analysis in R. Three main approaches are presented: (i) extract_features, (ii) tag and (iii) poetry. Such approaches aim to (i) easily build data frames containing the main features from multiple audio files, (ii) attach summarized columns from audio files to canonical data and (iii) map the best spoken words in the best order. The open datasets (Mozilla) Common Voice and VoxForge are presented to illustrate the main functionalities of (i) and (ii).