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.
Current progress on the DML project will be presented at the 1st International Digital Libraries for Musicology workshop (DLfM 2014). DLfM will take place on 12th September at City University London. Project-related papers are listed below:
- Tillman Weyde, Stephen Cottrell, Jason Dykes, Emmanouil Benetos, Daniel Wolff, Dan Tidhar, Nicolas Gold, Samer Abdallah, Mark Plumbley, Simon Dixon, Mathieu Barthet, Mahendra Mahey, Adam Tovell, Aquiles Alancar-Brayner. Big Data for Musicology
- Daniel Wolff, Dan Tidhar, Emmanouil Benetos, Edouard Dumon, Srikanth Cherla, Tillman Weyde. Incremental Dataset Definition for Large Scale Musicological Research