<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Fazekas, G.</AUTHOR>
		<AUTHOR>Cannam, C.</AUTHOR>
		<AUTHOR>Sandler, M.</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>Reusable Metadata and Software Components for Automatic Audio Analysis</TITLE>
	<SECONDARY_TITLE>IEEE/ACM Joint Conference on Digital Libraries JCDL&acirc;€™09 Workshop on Integrating Digital Library Content with Computational Tools and Services</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Austin, Texas, USA</PLACE_PUBLISHED>
	<DATE>15/06/2009</DATE>
</RECORD>
<RECORD>
	<REFERENCE_TYPE>10</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Fazekas, G.</AUTHOR>
		<AUTHOR>Cannam, C.</AUTHOR>
		<AUTHOR>Sandler, M.</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>A Simple Guide To Automated Music Analysis on the Semantic Web</TITLE>
	<SECONDARY_TITLE>C4DM White Paper</SECONDARY_TITLE>
	<DATE>04/2009</DATE>
	<ABSTRACT>We describe the construction of SAWA a simple Web-based system for automated audio analysis.  This system is capable of calculating an easily extended set of musically meaningful features such as beat, tempo, and key estimates from uploaded audio files, returning the results as rich RDF data suitable for interlinking on the Semantic Web. Unlike existing systems, our application is built on open and reusable components and provides an example of quick and straightforward development.</ABSTRACT>
</RECORD>
<RECORD>
	<REFERENCE_TYPE>10</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Matthias Mauch</AUTHOR>
		<AUTHOR>Chris Cannam</AUTHOR>
		<AUTHOR>Matthew Davies</AUTHOR>
		<AUTHOR>Christopher Harte</AUTHOR>
		<AUTHOR>Sefki Kolozali</AUTHOR>
		<AUTHOR>Dan Tidhar</AUTHOR>
		<AUTHOR>M. Sandler</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>OMRAS2 Metadata Project 2009</TITLE>
	<SECONDARY_TITLE>10th International Conference on Music Information Retrieval Late-Breaking Session, Kobe, Japan</SECONDARY_TITLE>
</RECORD>
</RECORDS></XML>