Over approximately the last decade, the Music Encoding Initiative (MEI), has become a recognized international community-driven effort that has developed and maintains the MEI schema, [...]
Early Modern Songscapes is a project exploring the circulation and performance of English Renaissance poetry. The recently released beta version of the project’s site includes [...]
Raffaele Viglianti (MITH) and Stephen Henry (Michelle Smith Performing Arts Library) hosted the Music Encoding Conference last week (22 - 25 May 2018). For the [...]
Meteomozart and Chance of Weather are dynamic scores that displays different variants of the piece based on the weather at your location.
Music encoding is a critical component of the emerging fields of digital musicology, digital editions, symbolic music information retrieval, and others. At the centre of these fields, the Music Encoding Conference has emerged as an important cross-disciplinary venue for theorists, musicologists, librarians, and technologists to meet and discuss new advances in their fields. The theme of the 2018 Music Encoding Conference is “Encoding and Performance," and will explore the relationship between music encoding and performance practice.
Citations: The Renaissance Imitation Mass (CRIM) will extend the idea of the quotable text for music in an innovative and open way. The focal point of our inquiry is the so-called “imitation” Mass, a Renaissance musical genre notable for the ways in which its composers derived new, large-scale works from pre-existing ones.
What is the future of sheet music? The flexibility of the digital medium, as opposed to the rigidity of the printed form, calls for a [...]
The Enhancing Music Notation Addressability project (EMA) is creating a system to address specific parts of a music document available online. By addressing we mean [...]
EMA is a collaboration with the Du Chemin: Lost Voices project (Haverford College), which is reconstructing songs printed by Nicholas Du Chemin between 1549 and 1568 in Paris. We will work on music analyses already produced by students and scholars as part of the Du Chemin project and re-model them as Linked Open Data nanopublications.