Content analysis driven digital music libraries

David Bainbridge

(University of Waikato)

Ever had a tune buzzing around your head, but can't remember its name?
Or been looking for some new music to listen to, but aren't sure what to
try? Enter digital music libraries!

This talk will focus on the digital music library work conducted as part
of the research activities at the University of Waikato, home of the
open-source Greenstone digital library software. The work encompasses
handling different forms of music such as sheet music, symbolic
representation, and audio performances; novel ways to access the
information such as locating a musical score through a user singing a
fragment of remembered melody as their query (in addition to supporting
searching by bibliographic information). Alternatively, browsing through
an ever-changing collage of images associated with music works can
support a serendipitous form of access, akin to spotting an interesting
book on a library shelf. Combining heterogeneous forms of music also
presents challenges that need to be overcome. During the course of the
talk, a variety working examples will be demonstrated and the underlying
algorithmic techniques explained.


David Bainbridge is a senior lecturer in computer science at the
University of Waikato, New Zealand. He holds a PhD in computer science
from the University of Canterbury, New Zealand where he studied the
problem of optical music recognition as a Commonwealth Scholar. Since
moving to Waikato, he has continued to broadened his interest in digital
media, while retaining a particular emphasis on music. He is an active
member of the Greenstone Digital Library project (,
and through this work has collaborated with several United Nations
Agencies, the BBC and various public and national libraries. He has
published in the areas of image processing, music information retrieval,
digital libraries, data compression, and text mining. He is co-author of
the book, How to build a digital library, and twice has been the
recipient of the best paper award at the premier US conference on
digital libraries.
Tuesday 20th March 2007, 14:00
Robert Recorde Room
Department of Computer Science