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      <h1 id="header"><span>Sonic Annotator</span></h1>

      <h2 id="firstpara">A batch tool for audio feature extraction</h2>

      <p>Sonic Annotator is a batch tool for feature extraction and
      annotation of audio files using <a href="../index.html">Vamp
      plugins</a>.</p>

      <p>Sonic Annotator can use any installed Vamp plugin to process
      a wide range of audio file types, loading audio data either from
      the local filesystem or from http or ftp URLs on the Internet.
      It can then write the results in RDF or comma-separated text
      formats.</p>

      <img style="float:right;clear:right;padding-left:1em;padding-top:0em" src="../images/semantic-web-and-friends-webscale.png" alt="Freehand sketch depicting Sonic Annotator's place in a semantic web world">

      <p>Sonic Annotator was originally developed in 2009 at Queen
      Mary, University of London as part of the <a
      href="http://omras2.org/">OMRAS2 project</a>, to facilitate
      feature data publication on the Semantic Web. It has since been
      used in a number of audio annotation projects and to power
      online audio feature retrieval APIs.</p>

      <p>Sonic Annotator is Free Software published under the GNU
      General Public License.</p>

      <ul><li><a href="http://code.soundsoftware.ac.uk/projects/sonic-annotator/files">Download the current version of Sonic Annotator</a> &mdash; binaries for Linux, OS/X, and Windows, or source code;</li>
      <li>Read our <a href="http://code.soundsoftware.ac.uk/projects/sonic-annotator/wiki">quick tutorial</a> about how to use Sonic Annotator;</li>
      <li>Read an <a href="runner.pdf">early document</a> describing more about the purpose and design of Sonic Annotator.</li>
      </ul>

      <p><small><i>Citations:</i> If you are using Sonic Annotator in research work for publication, please cite (<a href="http://eprints.soton.ac.uk/351746/1/tools.pdf">pdf</a> | <a href="runner.bib.txt">bib</a>) Chris Cannam, Michael O. Jewell, Christophe Rhodes, Mark Sandler, and Mark d'Inverno, <i>Linked Data and You: Bringing music research software into the Semantic Web</i>, Journal of New Music Research, volume 39, no. 4, pp. 313-325, 2010.</p>

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	<td align=center><a href="http://www.elec.qmul.ac.uk/digitalmusic/"><img src="../images/qm-logo.png" width="224" height="95" alt="Queen Mary logo" border=0/></a></td>
	<td>Developed at the Centre for Digital Music, Queen Mary, University of London.</td>
	<td align=right>Partially funded by the EPSRC through the OMRAS2 project EP/E017614/1.</td>
	<td align=center><a href="http://www.omras2.org/"><img src="../images/omras2-logo.png" width="265" height="46" alt="OMRAS2 logo" border=0/></a></td>
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author	Chris Cannam
date	Tue, 11 Aug 2020 16:41:11 +0100
parents	777c23552fd3
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