Digital Music Lab – Analysing Big Music Data is an AHRC project funded under the Big Data call of the Digital Transformations in the Arts and Humanities Theme. Our goal is to develop research methods and software infrastructure for exploring and analysing large-scale music collections, and to provide researchers and users with datasets and computational tools to analyse music audio, scores and metadata.
At the DML project we have extracted large amounts of chord sequence patterns. To allow for visual analysis and exploration of this new derived data by experts, we have now created visualisations that expose frequent patterns and structures. The current visualisation modes include
- linked grid
- linked circular grid
- origin-destination grid
- parallel coordinates
- chord-based tonnetz
The selection of specific subsets based on genre and frequency of appearance allows for focussing on specific aspects of the dataset.
Try the demo here!