The Music Informatics Research Group is pleased to announce the new research project entitled: A deep learning framework for automatic music transcription. The 4-month, £5.7k mini-project is funded through the City University London Research Pump-Priming Fund; project partners include City University London and Queen Mary University of London. For more information on the project...

At the awards ceremony for the AES 53rd Conference on Semantic Audio, the paper by Son Tran, Daniel Wolff, Tillman Weyde, and Artur Garcez entitled “Feature preprocessing using RBMs for music similarity learning” won the prize for Fully-Reproducible Work, as part of the Prizes for Reproducibility in Semantic Audio Research, sponsored by the EPSRC-funded...

This week’s School of Informatics seminar will be given by Daniel Wolff , research student and fellow at MIRG: Location: AG08 (College Building) Date: Wednesday 15 January, 2014 Time: 16:00 – 17:30 Title: Creating Audio-Based Experiments as Social Web Games with the CASimIR Framework Abstract: This talk presents the CASimIR framework for online experiments,...

The Music Informatics Research Group will present its current research at the annual Digital Music Research Network One-day Workshop 2013 (DMRN+8), which will take place on Tuesday 17th December 2013 at Queen Mary University of London. The full list of oral/poster presentations from MIRG is as follows: “Adapting music similarity models to geographic user...

The Music Informatics Research Group is pleased to announce the recent success of a major grant application to the Arts & Humanities Research Council (AHRC) for the project entitled: Digital Music Lab – Analysing Big Music Data. The 15-month, £562k project is funded through the Digital Transformations in the Arts and Humanities theme; project...