Using semantic score encodings for music performance research
We are very glad to invite you to the Sound and Music Interaction Seminar with Werner Goebl, Department of Music Acoustics – Wiener Klangstil (IWK), University of Music and Performing Arts Vienna, Vienna, Austria.
Time: Tue 2022-05-31 15.00
Location: Henrik Eriksson Room (1440), Lindstedtsvägen 3, floor 4
Video link: https://kth-se.zoom.us/j/62182993824
Participating: Werner Goebl, University of Music and Performing Arts Vienna
Musical scores encoded in the semantic MEI (music encoding initiative) schema provide -- through their finely addressable XML schema -- new ways to connect and interchange detailed information between them and
external resources, such as performances of them by human (or artificial) players. In combination with the open community-driven engraving project Verovio, renderings of these encodings can easily be displayed as SVG graphics in browsers and used for interactive applications for music practice and empirical music performance research. This talk presents recent research endeavors from our lab in collaborative editing of MEI scores (including the last-mile editor mei-friend) and using MEI scores in an interactive music practice environment that automatically aligns performances such as by a practicing pianist with a digital score to display performance features for music study.
Werner Goebl is Professor of Music Acoustics and Performance Science and head of the Department of Music Acoustics – Wiener Klangstil (IWK). He holds a PhD in Systematic Musicology of the University of Graz, and master degrees of the University of Vienna (musicology, psychology) and mdw (piano chamber music performance). With extensive research experience at the Austrian Research Institute for Artificial Intelligence Vienna, the Royal Institute of Technology Stockholm, McGill University Montreal, Johannes Kepler University Linz, he joined the faculty of mdw in 2009, where he obtained his venia on Music Acoustics in 2015.
His current research interests include motion and eye gaze analysis in musical ensemble interaction (funded by the Austrian Science Fund FWF “Togetherness in Music Ensembles”), acoustics and ergonomics of the piano action (funded by the Austrian Research Promotion Agency FFG), and music informatics and digital approaches to our cultural heritage, funded by the European Commission (“TROMPA – Towards Richer Online Music Public-domain Archives” 2018–21) and most recently by the FWF (“Same procedure as every year? Quantifying the Signature Sound of the Vienna Philharmonic’s New Year’s Concerts” PI David Weigl). He loves music, computers, and research data to analyse.