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Inhaltsbasiertes System zur Suche und Visualisierung von Musik in ethnomusikologischen Musikarchiven

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Computergestützte Archivierung von Tonträgern

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Zusammenfassung

In diesem Kapitel schlagen wir ein inhaltsbasiertes Explorations- und Visualisierungssystem für ethnomusikologische Archive vor, das den Datenzugriff nach rhythmischer Ähnlichkeit ermöglicht. Das System extrahiert ein onsets-synchrones Klangfarbenmerkmal jeder Audiodatei einer bestimmten Sammlung. Aus den resultierenden Zeitreihen werden Hidden Markov Modelle trainiert. Die Übergangswahrscheinlichkeitsmatrizen der Modelle werden als rhythmischer Fingerabdruck betrachtet, der die rhythmische Struktur der Musik in Bezug auf die Klangfarbe darstellt. Der Algorithmus der selbstorganisierenden Karte wird verwendet, um die hochdimensionalen Fingerabdrücke auf eine zweidimensionale Karte zu projizieren. Bei dieser Technik bleibt die Topologie des hochdimensionalen Merkmalsraums erhalten, was zu ähnlichen Kartenpositionen für ähnliche Rhythmen führt. Auf diese Weise wird ein Clustering nach rhythmischer Ähnlichkeit erreicht. Das System unterstützt daher musikwissenschaftliche Studien in mehrfacher Hinsicht: Das Rhythmus-Fingerprinting impliziert weder eine bestimmte Musiktheorie noch führt es zu einer kulturellen Voreingenommenheit. Daher können verschiedene Musiken unabhängig von ihrer Herkunft sinnvoll verglichen werden. Die Suche nach Ähnlichkeit ermöglicht einen explorativen Zugang zu den Musiksammlungen, was Forscher bei der Suche nach neuen Hypothesen und der Nutzung von Musikarchiven mit nur wenigen oder gänzlich ohne Metadaten unterstützen kann. Das System wird derzeit im Rahmen des COMSAR-Projekts im Ethnographic Sound Recordings Archive der Universität Hamburg prototypisch erprobt.

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Notes

  1. 1.

    https://www.ama.ifeas.uni-mainz.de/.

  2. 2.

    http://www.liederenbank.nl/.

  3. 3.

    http://www.telemeta.org.

  4. 4.

    http://crem-cnrs.fr/.

  5. 5.

    http://dml.city.ac.uk/.

  6. 6.

    http://esra.fbkultur.uni-hamburg.de/explore/view?entity_id=216.

  7. 7.

    http://esra.fbkultur.uni-hamburg.de/explore/view?entity_id=219.

  8. 8.

    http://esra.fbkultur.uni-hamburg.de/explore/view?entity_id=75.

  9. 9.

    http://esra.fbkultur.uni-hamburg.de/explore/view?entity_id=261.

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Authors and Affiliations

  1. Institut für Systematische Musikwissenschaft, Universität Hamburg, Hamburg, Deutschland

    Michael Blaß & Rolf Bader

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  1. Michael Blaß
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  2. Rolf Bader
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Correspondence to Michael Blaß .

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  1. Institute of Systematic Musicology, University of Hamburg, Hamburg, Deutschland

    Rolf Bader

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Blaß, M., Bader, R. (2024). Inhaltsbasiertes System zur Suche und Visualisierung von Musik in ethnomusikologischen Musikarchiven. In: Bader, R. (eds) Computergestützte Archivierung von Tonträgern. Springer Vieweg, Cham. https://doi.org/10.1007/978-3-031-49640-0_7

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