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.
A paper describing the relationships between Music Information Retrieval, Big Music Data, and musicology in relation to the analysis of recorded music and in particular the DML project was recently published at Musical Quarterly.
The paper, entitled “Big Music Data, Musicology, and the Study of Recorded Music: Three Case Studies” and authored by Stephen Cottrell (Professor of Music at City, University of London and Co-Investigator in the DML project), can be viewed by following the below link:
- DML paper published at ACM JOCCH
- DML mention at International Musicological Society Newsletter
- DML Code Repositories
- ASyMMus at MTG Seminar, Universitat Pompeu Fabra Barcelona
- 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