Software Project

MUSE4Music

Approaching expressive qualities in 19th century symphonic music through pattern research

The Project

Music has expressive power. What seems to be obvious, is still difficult to grasp scientifically - especially if you are interested in the effect music had in the past. For example, there are only a few sources from the 19th century that provide information about the expressive quality that people attributed to music at that time. Our project outlines a new method for approaching the effects of 19th century symphonic music combining approaches from historical and systematic musicology as well as computer science.

MUSE4Music is a cooperation project with the Musicological Institute of the University of Cologne.

Publications

Journal Papers

  1. Barzen, Johanna; Breitenbücher, Uwe; Eusterbrock, Linus; Falkenthal, Michael; Hentschel, Frank; Leymann, Frank: The vision for MUSE4Music. Applying the MUSE method in musicology. In: Hermann Engesser (Hrsg): Computer Science - Research and Development. Advancements of Service Computing: Proceedings of SummerSoC 2016, Vol. 32 (3-4), Heidelberg: Springer, 2016.

Technical Reports

  1. Eusterbrock, Linus; Barzen, Johanna; Hentschel, Frank: Eine Ontologie symphonischer Musik des 19. Jahrhunderts, Technischer Bericht Nr. 2017/02.

Poster

  1. Barzen, Johanna; Falkenthal, Michael; Hentschel, Frank; Leymann, Frank; Strehl, Tino: Ähnlichkeitssuche in den Digital Humanities: Semi-automatische Identifikation von Kostümmustern, In: Burr, Elisabeth (Hrsg): Konferenzabstracts DHd 2016 "Modellierung - Vernetzung - Visualisierung: Die Digital Humanities als fächerübergreifendes Forschungsparadigma".
  2. Barzen, Johanna; Falkenthal, Michael; Hentschel, Frank; Leymann, Frank: Musterforschung in den Geisteswissenschaften: Werkzeugumgebung zur Musterextraktion aus Filmkostümen, In: DHd 2015.

Kontakt

Dieses Bild zeigt Barzen
Dr. phil.

Johanna Barzen

Lead of Research Area Digital Humanities & eScience

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