25 May 2018

Music Information Retrieval meets DH

Talk on Music Information Retrieval and DH for a workshop on search technologies in Weimar.

MWW / DARIAH-DE Workshop “Suchtechnologien”

From May 23-25, the “Forschungsverbund Marbach-Weimar-Wolfenbüttel” (MWW) together with DARIAH-DE organized an expert workshop on “search technologies” in Weimar. The program covered a wide range of interesting topics, including talks about information architecture, information behavior, search user interfaces, visualization, music and image retrieval, and many other aspects related to information retrieval.

The full programm is available here.

Music Information Retrieval meets Digital Humanities

On Friday, Manuel Burghardt gave his keynote talk on Music Information Retrieval and its application in the Digital Humanities.

Preview of the slides

If you want to learn more about the project and our approach for digitizing and analyzing handwritten music sheets, check out the upcoming article on “Digital Humanities in der Musikwissenschaft”. The preprint is already available. If you would like to take a closer look at the collection of folksongs, please visit the Regensburger Volksmusikportal (RVP), kindly provided and maintained by the Regensburg University Library.

  1. Burghardt, M. (2018). Digital Humanities in der Musikwissenschaft – Computergestützte Erschließungsstrategien und Analyseansätze für handschriftliche Liedblätter. In Bibliothek. Forschung und Praxis, Sonderheft “Digitale Forschungsinfrastruktur für die Musikwissenschaft” (Hrsg.: B. Wiermann & A. Bonte).
  2. Burghardt, M., & Lamm, L. (2017). Entwicklung eines Music Information Retrieval-Tools zur Melodic Similarity-Analyse deutsch-sprachiger Volkslieder. In M. Eibl & M. Gaedke (Eds.), INFORMATIK 2017, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik – Workshop „Musik trifft Informatik“ (pp. 15–27). Bonn: Springer.
  3. Burghardt, M., & Spanner, S. (2017). Allegro: User-centered Design of a Tool for the Crowdsourced Transcription of Handwritten Music Scores. In Proceedings of the DATeCH (Digital Access to Textual Cultural Heritage) conference. ACM.
  4. Burghardt, M., Spanner, S., Schmidt, T., Fuchs, F., Buchhop, K., Nickl, M., & Wolff, C. (2017). Digitale Erschließung einer Sammlung von Volksliedern aus dem deutschsprachigen Raum. In Book of Abstracts, DHd 2017.
  5. Burghardt, M., Lamm, L., Lechler, D., Schneider, M., & Semmelmann, T. (2016). Tool based Identification of Melodic Patterns in MusicXML Documents. In Book of Abstracts of the International Digital Humanities Conference (DH).
  6. Burghardt, M., Lamm, L., Lechler, D., Schneider, M., & Semmelman, T. (2015). MusicXML Analyzer – Ein Analysewerkzeug für die computergestützte Identifikation von Melodie-Patterns. In Proceedings des 9. Hildesheimer Evaluierungs- und Retrievalworkshop (HiER 2015) (pp. 29–42).
  7. Meier, F., Bazo, A., Burghardt, M., & Wolff, C. (2015). A Crowdsourced Encoding Approach for Handwritten Sheet Music. In J. Roland, Perry; Kepper (Ed.), Music Encoding Conference Proceedings 2013 and 2014 (pp. 127–130).