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”