ASyMMuS project started!

ASyMMuS (“An Integrated Audio-Symbolic Model of Music Similarity”) is an AHRC project funded under the Amplification Awards call of the Digital Transformations in the Arts and Humanities Theme. This project aims to apply the newly developed technological infrastructure from the Digital Music Lab project, to answer the musicological question what constitutes and contributes to similarity of music. The £77k project (AH/M002454/1) is being carried out collaboratively between City University London, University College London, and Lancaster University.

For more information on the project, please visit the ASyMMuS proejct pages.

DML project at ECDA 2014

Current progress on the DML project will be presented at the ‘Statistical Musicology’ session of the European Conference on Data Analysis (ECDA 2014). ECDA will take place on 2-4 July in Bremen, Germany. Project-related talks are listed below:

  • Dan Tidhar, Srikanth Cherla, Daniel Wolff, and Tillman Weyde, “An iterative learning approach to dataset demarcation in music analysis”
  • Tillman Weyde, Stephen Cottrell, Emmanouil Benetos, Daniel Wolff, Dan Tidhar, Jason Dykes, Mark Plumbley, Simon Dixon, Mathieu Barthet, Nicolas Gold, Samer Abdallah, and Mahendra Mahey, “Digital Music Lab – A Framework for Analysing Big Music Data”
  • Srikanth Cherla, Dan Tidhar, Artur d’Avlia Garcez, and Tillman Weyde, “Machine Learning for the Analysis of a Large Collection of Musical Scales”

Digital Music Lab Workshop on Analysing Big Music Data

Digital Music Lab 1st Workshop on Analysing Big Music Data
19 March 2014, 10:00 – 15:30
Room C343, Tait Building, Northampton Square Site
City University London

The Digital Music Lab project invites participants to attend the first workshop on analysing big music data.  The workshop is aimed to explore some dataset-specific aspects of the project as well as more general opportunities and challenges which are involved with big music data research. It will include presentations by the project’s official advisors, Prof. Frans Wiering, Dr. Renee Timmers, and Prof. Tim Crawford, and several other invited speakers. The workshop will also include an interactive part in which participants will have the opportunity to formulate and refine research questions relating to specific datasets which will be presented and characterised.

For more information on the workshop, including programme, registration, and venue information, please visit the workshop webpage.