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URN: urn:nbn:de:0030-drops-19666
URL: http://drops.dagstuhl.de/opus/volltexte/2009/1966/
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Müller, Meinard ; Grosche, Peter ; Wiering, Frans

Towards Automated Processing of Folk Song Recordings

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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.

BibTeX - Entry

@InProceedings{mller_et_al:DSP:2009:1966,
  author =	{Meinard M{\"u}ller and Peter Grosche and Frans Wiering},
  title =	{Towards Automated Processing of Folk Song Recordings},
  booktitle =	{Knowledge representation for intelligent music processing },
  year =	{2009},
  editor =	{Eleanor Selfridge-Field and Frans Wiering and Geraint A. Wiggins},
  number =	{09051},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2009/1966},
  annote =	{Keywords: Folk songs, audio, segmentation, music synchronization, annotation, performance analysis}
}

Keywords: Folk songs, audio, segmentation, music synchronization, annotation, performance analysis
Seminar: 09051 - Knowledge representation for intelligent music processing
Issue Date: 2009
Date of publication: 02.04.2009


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