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”