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Towards Automated Processing of Folk Song Recordings Müller, Meinard Grosche, Peter Wiering, Frans Folk songs audio segmentation music synchronization annotation performance analysis 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Meinard Müller and Peter Grosche and Frans Wiering 2009 Is Part Of Dagstuhl Seminar Proceedings, Volume 9051, Knowledge representation for intelligent music processing (2009) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.09051.7 urn:nbn:de:0030-drops-19666 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09051.7 eng https://creativecommons.org/licenses/by/4.0/legalcode