The project team consists of Simon Dixon (PI), Mark Sandler (CI) and Kurt Jacobson (RA) from the Centre for Digital Music (C4DM) at Queen Mary University of London. C4DM is a world-leading multidisciplinary research group in the field of Music & Audio Technology. C4DM has around 50 members working on signal processing of digital music, music informatics, machine listening, audio engineering and interactive performance. Research funding obtained since 2001 totals over £14m, mainly from the EPSRC and EU. Current projects include Sustainable Software for Digital Music and Audio Research (EP/H043101/1, 2010-2014), the £2.5m Online Music Recognition and Searching II (OMRAS-2, EP/E017614/1, with Goldsmiths, University of London, 2007-10), an EPSRC Platform Grant (EP/E045235/1, 2007-12), the £5.9m Doctoral Training Centre in Digital Music and Media for the Creative Economy (EP/G03723X/1, 2009-2017), and Networked Environment for Music Analysis, funded by the Andrew W. Mellon Foundation (2008-10).
Dr Simon Dixon (PI) is a Lecturer in Electronic Engineering at Queen Mary and leads C4DM's Music Informatics group. He has a PhD (Sydney) in Computer Science (in the area of knowledge representation and reasoning) and LMusA diploma in Classical Guitar. His research interests cover various aspects of music informatics, including high-level music signal analysis and the representation of musical knowledge (particularly rhythm and harmony). He is CI on OMRAS-2 and was CI on Interfaces to Music (Vienna Science and Technology Fund, 2004-2007). He is author of the beat tracking software BeatRoot (ranked first in the MIREX 2006 evaluation of beat tracking systems) and the audio alignment software MATCH (Best Poster Award, ISMIR 2005), and co-author of the top-ranked Audio Chord Detection and Music Structure Segmentation systems (MIREX 2009). He was Programme Co-Chair for ISMIR 2007, and co-presented the ISMIR 2006 tutorial on Computational Rhythm Description.
Prof Mark Sandler (CI) is Director of C4DM. He became a Professor of Signal Processing at Queen Mary in 2001, following 19 years at King's College, where he was also Professor of Signal Processing. He is/was PI on OMRAS-2 and SIMAC. He was General Chair of DAFx'03 and General Co-Chair of ISMIR'05. He is Chair of the Audio Engineering Society Technical Committee on Semantic Audio Analysis. He is a Fellow of the IET and AES. He is Director of the Doctoral Training Centre in Digital Music and Media for the Creative Economy.
Kurt Jacobson (RA) is currently a doctoral student at C4DM working on the OMRAS-2 project. As assistant administrator of DBTune.org he has worked to create Semantic Web services for music including a service publishing structured data about music artists on Myspace and musicological data about classical music composers. He is working on modeling and exploring connections in music using structured data from heterogeneous sources including historical musicology, social networks, and audio analysis. He was co-presenter of the ISMIR 2009 tutorial on the semantic web and music information, titled "Share and Share Alike, You Can Say Anything about Music in the Web of Data".
The MetaBrainz Foundation (http://metabrainz.org/) is a non-profit organisation based in San Luis Obispo, California, USA, that operates the MusicBrainz project, a user maintained community music metadatabase. The MusicBrainz database currently contains metadata on over 9 million recordings from over half a million artists. Metabrainz is supported by donations from companies such as Sun and Google, as well as private donations, and they license their data commercially to partners such as the BBC and ZEEZEE (zeezee.de). The BBC has also provided them with data from their Orpheus classical works database (containing over 100000 works) to aid the development of the next generation schema (NGS).
The main stakeholders in the project are people who use information about musical recordings. In the HE sector, this includes Music Informatics researchers and practitioners, who develop new algorithms for analysing, navigating, manipulating and understanding musical works and collections; and music teachers, students and researchers, for whom recordings are works of art exemplifying the performers' technical mastery and interpretative skill. Other stakeholders include the Linked Data community, JISC community and MusicBrainz user community.
Various stakeholders will be engaged at different parts of the project, as described in WP4. The NGS mapping (WP1) will take place in consultation with the MusicBrainz user community via their mailing list, IRC channel and forums, and with the Linked Data community via the Linked Open Data (LOD) mailing list. We will promote the project to key representatives of the end-user community early in the project, at the ISMIR conference (Aug 2010), by a presentation in the Late Breaking session and by personal communication. The UK user community will be reached via our workshops (see WP4), the first of which we be held in conjunction with DMRN 2010 (www.dmrn.org) at Queen Mary. The feedback from this involvement will be taken into account in further work. The second workshop in month 11 will showcase the SPARQL endpoint for the MusicBrainz database and feature tutorials demonstrating its use in solving typical information needs and potential use in answering new types of research questions. We will ensure that the tutorials are suitable for a wide range of users, including non-experts in semantic web technologies. The semantic web community will be reached via JISC events and the LOD list.