A Visual Musical Structural Analysis System for Browsing Music Interactively: Song Form Intelligence

By Kevin Curran, Frank Lyons and Elaine Smyth.

Published by The International Journal of Technology, Knowledge and Society

Format	Price
Article: Print	$US10.00
Article: Electronic	$US5.00

Musical structural analysis is the identification and the subsequent description of musical structure. This paper presents the results of integrating a visual music structure system with the output of an MPEG-7 metadata musical structure analysis system used to describe the structural content of music at a fine level of granularity. The proposed system will integrate this MPEG-7 musical description output into the visual application in order to allow users to interactively skip to & fro between musical segments at ease.

Keywords:	Song Form Intelligence, Artificial Intelligence, Intelligent Systems, Multimedia

The International Journal of Technology, Knowledge and Society, Volume 3, Issue 2, pp.27-34. Article: Print (Spiral Bound). Article: Electronic (PDF File; 693.664KB).

Dr. Kevin Curran

Lecturer in Computer Science, School of Computing and Intelligent Systems, Northland Road, University of Ulster, Londonderry, UK

Kevin Curran is a Lecturer in Computer Science. He has published widely in the field of distributed computing and computer networks and is a member of the editorial board of a number of international journals and conferences.

Prof Frank Lyons

Lecturer in Music Technology and Popular Music, Faculty of Arts, School of Media and Performing Arts, Music Division, University of Ulster, Belfast, Ulster, UK

Elaine Smyth

University of Ulster, Belfast, Ulster, UK

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