Towards Automated Processing of Folk Song Recordings

Authors Meinard Müller, Peter Grosche, Frans Wiering



PDF
Thumbnail PDF

File

DagSemProc.09051.7.pdf
  • Filesize: 273 kB
  • 15 pages

Document Identifiers

Author Details

Meinard Müller
Peter Grosche
Frans Wiering

Cite AsGet BibTex

Meinard Müller, Peter Grosche, and Frans Wiering. Towards Automated Processing of Folk Song Recordings. In Knowledge representation for intelligent music processing. Dagstuhl Seminar Proceedings, Volume 9051, pp. 1-15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)
https://doi.org/10.4230/DagSemProc.09051.7

Abstract

Folk music is closely related to the musical culture of a specific nation or region. Even though folk songs have been passed down mainly by oral tradition, most musicologists study the relation between folk songs on the basis of symbolic music descriptions, which are obtained by transcribing recorded tunes into a score-like representation. Due to the complexity of audio recordings, once having the transcriptions, the original recorded tunes are often no longer used in the actual folk song research even though they still may contain valuable information. In this paper, we present various techniques for making audio recordings more easily accessible for music researchers. In particular, we show how one can use synchronization techniques to automatically segment and annotate the recorded songs. The processed audio recordings can then be made accessible along with a symbolic transcript by means of suitable visualization, searching, and navigation interfaces to assist folk song researchers to conduct large scale investigations comprising the audio material.
Keywords
  • Folk songs
  • audio
  • segmentation
  • music synchronization
  • annotation
  • performance analysis

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail