MEC 2021 BEST PAPER AWARD. Though MEI is widely used in music informatics and digital musicology research, the relative lack of authoring software and the specialised nature of its community have limited the availability of high-quality MEI encodings. Translating to MEI from other encoding formats, or generating MEI via optical music recognition…[Read more]

This paper presents the recent implementation of encoded music notation in two open access platforms of the Spanish National Research Council (CSIC) devoted to traditional music and polyphony, respectively: Fondo de Música Tradicional IMF-CSIC (FMT)1 and Books of Hispanic Polyphony IMF-CSIC (BHP)2. Even though, at first, both repertories seem…[Read more]

This panel submission for the 2021 Music Encoding Conference brings together five short papers that focus on the making of computer-readable encodings of polyphony in the notational style – mensural notation – in which it was originally copied. Mensural notation was used in the medieval West to encode polyphony from the late thirteenth to six…[Read more]

Drawing on collaborative research at The National Archives, including through the UK Arts and Humanities Research Council’s programme Towards a National Collection, this talk explores computational archival science, artificial intelligence, citizen involvement, and post-custodial approaches to challenge doom-laden technological determinism, and h…[Read more]

Musicology is a small discipline within the wide spectrum of human knowledge, yet it is already divided into various branches […]. Although they share their object of investigation – “the art of music as a physical, psychological, aesthetic, and cultural phenomenon” –, these branches very often ignore one another. Research in musicology is mostly…[Read more]

Foreword of the Music Encoding Conference Proceedings 2021.

Conference proceedings of the Music Encoding Conference 2021 with Foreword by Stefan Münnich and David Rizo.

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, standards, and shared documentation. The potential of machine-readable music data that can be reused, rendered, shared, or analyzed using a computer, is quite…[Read more]