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”

Recorded talks from the Digital Music Lab Workshop on Analysing Big Music Data can be viewed from the workshop page, or by visiting the links below:

• Introduction
• Tim Crawford (Goldsmiths University of London)
• Frans Wiering (Utrecht University)
• Renee Timmers (University of Sheffield)
• Stephen Rose (Royal Holloway, University of London)
• Alan Marsden (Lancaster University)
• Guillaume Pellerin (Telemeta)

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.

Partner institutions recently issued press releases for the Digital Music Lab project, which can be found below:

• Digital music and Big Data (City University)
• Digital music to feel impact of Big Data (Queen Mary)
• UCL and Big Data (UCL)

The Digital Music Lab project was presented during the 3-day workshop on “Big Data: Challenges and Applications”, that took place at Imperial College London on 17-19th February.

For viewing the Digital Music Lab poster, click on the image below:

This is the first blog entry about our project. We are planning to keep you regularly informed about project developments, project-organised workshops, and releases of datasets and computational tools for analysing music. Please check this pages for updates!