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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.

The £560k project (AH/L01016X/1) is being carried out collaboratively between City University London, Queen Mary University of London, University College London, and the British Library.

Recent Posts

DML and ASyMMuS projects at DMRN+9 workshop

Current progress on the DML and ASyMMuS projects will be presented at the Digital Music Research Network Workshop 2014 (DMRN+9), taking place on Tuesday 16th December at Queen Mary University of London. The list of project-related presentations is as follows:

  • “The ASyMMuS project: An integrated audio-symbolic model of music similarity”, Emmanouil Benetos, Daniel Wolff, Tillman Weyde (City University London), Nicolas Gold, Samer Abdallah (University College London) and Alan Marsden (Lancaster University)
  • “Towards analysing big music data – Progress on the DML research project”, Tillman Weyde, Stephen Cottrell, Jason Dykes, Emmanouil Benetos, Daniel Wolff, Dan Tidhar, Alexander Kachkaev (City University London), Mark Plumbley, Simon Dixon, Mathieu Barthet, Steven Hargreaves (Queen Mary University of London), Nicolas Gold, Samer Abdallah (University College London), Aquiles Alancr-Brayner, Mahendra Mahey and Adam Tovell (The British Library)
  1. DML at UCL Digifest Leave a reply
  2. DML project at CIM 2014 conference Leave a reply
  3. DML project at Musical Timbre Workshop Leave a reply
  4. DML project at the Society for Ethnomusicology Annual Meeting Leave a reply
  5. Early Music paper on large-scale temperament estimation Leave a reply
  6. DML project at BL Labs Symposium 2014 Leave a reply
  7. DML project at ISMIR 2014 Leave a reply
  8. DML project at AES ‘Cutting Edge Research’ event Leave a reply
  9. Demo: Large-Scale Visualisations of Chord Sequence Patterns Leave a reply