Mark Sandler on Semantic audio: Combining semantic web technology with audio analysis
ABOUT MARK SANDLER: Professor Mark Sandler has been applying Digital Signal Processing to problems in audio and music since the late 1970s, and is one of the pioneers of the area known as Music Informatics. He currently specialises in the use of Semantic Technologies for Audio and Music. He has published approximately 400 papers (> 100 in journals). He has graduated over 30 PhD students. He was the Principal Investigator of the pioneering UK-funded OMRAS2 project (omras2.org) and has been Principal Investigator on grants with a total value well in excess of £10M. He recently completed a collaborative grant with BBC and I Like Music in the area of music and emotion, named Making Musical Mood Metadata (http://www.bbc.co.uk/rd/projects/making-musical-mood-metadata) which explored the use of mood in music recommendation systems. He is a Fellow of the Audio Engineering Society, the Institution of Engineering and Technology and the British Computer Society. He is currently Head of the School of Electronic Engineering and Computer Science and Chief Scientist of the Centre for Digital Music.