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        <identifier>oai:drops-oai.dagstuhl.de:1965</identifier>
        <datestamp>2024-03-06T11:08:33Z</datestamp>
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          <dc:title>Towards Bridging the Gap between Sheet Music and Audio</dc:title>
          <dc:creator>Fremerey, Christian</dc:creator>
          <dc:creator>Mueller, Meinard</dc:creator>
          <dc:creator>Clausen, Michael</dc:creator>
          <dc:subject>Audio</dc:subject>
          <dc:subject>sheet music</dc:subject>
          <dc:subject>symbolic score</dc:subject>
          <dc:subject>optical music recognition</dc:subject>
          <dc:subject>music synchronization</dc:subject>
          <dc:description>Sheet music and audio recordings represent and describe music&#13;
on different semantic levels. Sheet music describes abstract high-level&#13;
parameters such as notes, keys, measures, or repeats in a visual form.&#13;
Because of its explicitness and compactness, most musicologists discuss&#13;
and analyze the meaning of music on the basis of sheet music. On the&#13;
contrary, most people enjoy music by listening to audio recordings, which&#13;
represent music in an acoustic form. In particular, the nuances and subtleties&#13;
of musical performances, which are generally not written down&#13;
in the score, make the music come alive. In this paper, we address the&#13;
problem of bridging the gap between the sheet music domain and the audio&#13;
domain. In particular, we discuss aspects on music representations,&#13;
music synchronization, and optical music recognition, while indicating&#13;
various strategies and open research problems.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Christian Fremerey and Meinard Mueller and Michael Clausen</dc:contributor>
          <dc:date>2009</dc:date>
          <dc:relation>Is Part Of Dagstuhl Seminar Proceedings, Volume 9051, Knowledge representation for intelligent music processing (2009)</dc:relation>
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          <dc:language>eng</dc:language>
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