Mark Sandler, Queen Mary University London, UK: Semantic audio: Combining semantic web technology with audio analysis

The wine and cheese reception following the lecture will take place in room A833 (8th floor of the New Music Building).


ABSTRACT: 

The seminar will present some of the latest research from the Centre for Digital Music in Semantic Audio, wherever appropriate by means of demos. These will include the use of semantic linked data to create exciting music browsing applications, the use of content analysis in recording studios to improve the quality of audio features and music informatics applications, and music recommendation based on mood.


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.

 

VIDEO ARCHIVE - MARK SANDLER

APA video citation:

Sandler, M. (2014, April 14). Semantic audio: Combining semantic web techonology with audio analysis -
CIRMMT Distinguished Lectures in the Science and Technology of Music. [Video file].
Retrieved from https://www.youtube.com/watch?v=i_juIZq46gI