3 Tidhar, D. Fazekas, G. Kolozali, S. Sandler, M. 2009 10th International Conference on Music Information Retrieval, Kobe, Japan 26/10/2009 We describe the process of collecting, organising and publishing a large set of music similarity features produced by the SoundBite playlist generator tool. These data can be a valuable asset in the development and evaluation of new Music Information Retrieval algorithms. They can also be used in Web-based music search and retrieval applications. For this reason, we make a database of features available on the Semantic Web via a SPARQL end-point, which can be used in Linked Data services. We provide examples of using the data in a research tool, as well as in a simple web application which responds to audio queries and finds a set of similar tracks in our database. 3 Fazekas, G. Sandler, M. 2009 Unlocking Audio 2 - Connecting with Listeners London, UK 16/03/2009 3 Fazekas, G. Cannam, C. Sandler, M. 2009 IEEE/ACM Joint Conference on Digital Libraries JCDL’09 Workshop on Integrating Digital Library Content with Computational Tools and Services Austin, Texas, USA 15/06/2009 3 Fazekas, G. Sandler, M. 2009 126th Convention of the AES Munich, Germany 07/05/2009 10 Fazekas, G. Cannam, C. Sandler, M. 2009 C4DM White Paper 04/2009 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. 3 Fazekas, G. Sandler, M. 2009 12th International Conference on Digital Audio Effects, Como, Italy 01/09/2009 This paper discusses architectural aspects of a software library for unified metadata management in audio processing applications. The data incorporates editorial, production, acoustical and musicological features for a variety of use cases, ranging from adaptive audio effects to alternative metadata based visualisation. Our system is designed to capture information, prescribed by modular ontology schema. This advocates the development of intelligent user interfaces and advanced media workflows in music production environments. In an effort to reach these goals, we argue for the need of modularity and interoperable semantics in representing information. We discuss the advantages of extensible Semantic Web ontologies as opposed to using specialised but disharmonious metadata formats. Concepts and techniques permitting seamless integration with existing audio production software are described in detail. 3 Gyorgy Fazekas Yves Raimond Mark Sandler 2008 125th Convention of the AES, San Francisco, USA