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.
From the abstract:
The concept of similarity can be applied to music in a multitude of ways. Applications include systems which provide similarity estimates depending on the specific user and context as well as analysis tools that show similarity of music with regards to specified compositional, physical or contextual features. The ASyMMuS project allows musicologists to apply similarity analysis to musical corpora on a big-data infrastructure – allowing for a comparison of e.g. the works of a certain composer.
Read here for more information and the full abstract.
- ASyMMuS Workshop: abstracts and slides
- ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling
- Explore the DML Vis Interface
- DML project at FMA 2015
- DML project at “Quantitative Data and Music Research” symposium
- ASyMMuS Press Release
- Transforming Musicology blog post on music similarity
- DML Final Workshop (report from BL Digital Scholarship Blog)
- DML Final Workshop: Slides