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Digital Humanities a aktuální projekty v oboru muzikologie (DEML, MUSCIMA++)

Dear colleagues,

Please accept our invitation to a Workshop on Digital Humanities and Current Musicological Projects (DEML, MUSCIMA++).

The seminar will be held in the library of the Department of Music History of the Institute of Etnology CAS, Puškinovo nám. 9, Prague 6,

on Wednesday 22 November 2017 at 10 am; the scheduled closing time is 1 pm.

The foreword will be delivered by Jarmila Procházková of the Department of Music History. Activities of the recently constituted Czech Association for Digital Humanities (CzADH) will be introduced by Mr. Boris Lehečka of the Institute of the Czech Language CAS, who will further present his experience in DH projects (Web Vocabulary, VIDA/RIDICS infrastructure etc.). The newly developed database of musical life, DEML (see the abstract) will be introduced by Ms. Procházková and Mr. Michal Cais, and digitisation of musicological bibliography will be presented by Ms. Jana Vozková of the Department of Music History.

Our invitation has also been accepted by Mr. Jan Hajič Jr. of the Institute of Formal and Applied Linguistics of the Faculty of Mathematics and Physics of Charles University who will talk about the MUSCIMA++ project (see the abstract).

The workshop will be held under the auspices of Strategy CAS 21, in the context of the programme Memory in Digital Age - Digital Humanities.



DEML Database Encyclopedia of Musical Life is a relational database mapping activities of music culture. The database accumulates information from different areas of musical life, building a typology of events, basic evidence of personalities, localities and works of music. The initial stage also aims at incorporation of activities of selected music institutions in 1920s and 1930s. The basic ambition of the project is compatibility with national and international authorities and standards. The database is interconnected with digitalised bibliography.



Optical Music Recognition (OMR) is a sub-field of document analysis and recognition focused on extracting musical content from the image (e.g., scan or photo) of a musical score. Given that more compositions probably exist in written form than have been recorded, automatically transcribing written music can substantially diversify the sources available to digital musicology. The greatest potential of OMR lies in making accessible massive musical archives, such as the Lichtenstein-Castelcorn collection in Kroměříž, to further investigation using methods of digital musicology: automated duplicate or part detection, melody-based search, or tracking the genealogy of musical motifs.

Within document analysis, OMR occupies a particularly difficult niche, because modern music notation is one of the most complicated writing systems overall. Especially for manuscripts, where this difficulty compounds with the variability in handwriting, no remotely satisfactory solutions are available today. The problem also only has a small community dedicated to solving it. The talk will give an overview of the current state of the art and the developments in the field, with focus on potential applications for digital musicology.

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