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.
Several researchers from the ASyMMus and DML projects prominently contributed to the high-profile international workshop “Music Similarity: Concepts, Cognition and Computation“.
The workshop gathered experts on music similarity from Computer Science, Musicology, Music Psychology and related scientific fields. In a highly-motivated series of workgroups and talks, our researchers collaborated with other experts in the field in theoretical concepts and computer models of music similarity.
Main areas that were addressed :
* Relationship of similarity and categorisation
* Embedding similarity in context
* Perception and cognition of similarity
* Similarity modelling
* Similarity in music content – music analysis
* Similarity in music expression
Results include a roadmap for interdisciplinary music similarity research as well as future collaborations across scientific fields.
- DML and ASyMMuS projects at DMRN+9 workshop
- DML at UCL Digifest
- DML project at CIM 2014 conference
- DML project at Musical Timbre Workshop
- DML project at the Society for Ethnomusicology Annual Meeting
- Early Music paper on large-scale temperament estimation
- DML project at BL Labs Symposium 2014
- DML project at ISMIR 2014
- DML project at AES ‘Cutting Edge Research’ event