Hitting the right note: Centre researchers present work at Musicology conference

Hitting the right note: Centre researchers present work at Musicology conference

Centre musicologists recently presented their research at the Music Encoding Conference.

The conference is an annual focal point for the Music Encoding Initiative community, and this year took place at the University of Maryland with the theme “Encoding and Performance”.

Senior Researcher Dr Kevin Page (pictured left) presented work from the ‘Digital Delius’ project - a collaboration with musicologists from the Faculty of Music which seeks to enhance public understanding of Delius and illustrate the ‘life-cycle’ of musical works by combining original manuscripts, commentary, and encodings in a digital exhibition at the British Library.

Dr Page described a masterclass run by Professor Daniel Grimley and the Villiers Quartet, at which Centre researchers explored the process of editing music for performance by recording musical annotations live. Dr Page, together with collaborator Tim Crawford (Goldsmiths University of London) discussed this as a way to explore playability and performance issues in digital musicology.

Collaborator Tim Crawford (Goldsmiths University of London) also fed back on his ‘Learn2Play’ project, in which musical scores are annotated for certain instruments (renaissance lute, guitar and flute) with estimates of playability.

"Encoding playability: how hard can it be?

Joanna Bullivant (University of Oxford); Tim Crawford; Jamie Forth (Goldsmiths University of London); David Lewis; Kevin Page (both Oxford e-Research Centre).


Dr David Weigl, pictured right, gave a presentation focusing on the encoding of "Climb!", a musical composition that combines the ideas of a classical virtuoso piece and a computer game. The composition is encoded using the Music Encoding Initiative's (MEI) XML schema, combined with the additional use of Linked Data to capture Climb!'s game-like non-linear aspects.

This applies the Centre's Music Encoding and Linked Data (MELD) technology, software developed as part of the 5 year EPSRC funded FAST (Fusing Audio and Semantic Technologies) project, undertaken with colleagues at the University of Nottingham and Queen Mary University of London, which brings the very latest technologies to bear on the entire recorded music industry, end-to-end, producer to consumer.

"Encoding of a dynamic composition and its performance”

David Weigl (Oxford e-Research Centre); Steve Benford; Chris Greenhalgh; Adrian Hazzard; Maria Kallionpää (all University of Nottingham); Kevin Page (Oxford e-Research Centre)