PnC3-2 – Analysis of Viennese opera scores using AI

The project examines 18th-century Viennese opera scores made by copyists using computer vision, machine learning, and visual analysis tools. The aim is to identify individual copyists, analyze their notation, and date undated manuscripts, especially those originating at the Viennese court. This will improve the scholarly analysis of these sources and expand a catalog of Viennese copyists. The innovative aspect lies in the combination of musicology, digital humanities, and state-of-the-art image processing, which makes previous manual approaches significantly more efficient and precise. The University of Music and Performing Arts Vienna (Martin Eybl) and the USTP research group for computer-aided manuscript analysis (Markus Seidl) are involved in the project. Currently, the manuscripts are being analyzed, and the project builds upon existing databases; completion is planned after the material and copyist analyses are finished.

More about the project: PnC3-2- Paper and Copyists in Viennese Opera Score - Forschung an der USTP – University of Applied Sciences St. Pölten

Project by: https://mc.ustp.at

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