By Topic

Distance metrics and indexing strategies for a digital library of popular music

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Francu, C. ; Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA ; Nevill-Manning, C.G.

People identify powerfully with music: someone might say “that's my song!” but they are unlikely to say “that's my book!” or “that's my picture!” A digital library of popular music therefore has the potential to be a compelling application of information retrieval technology. Such a library requires a retrieval method that is appropriate for a non-technical audience. Experiments on “query by humming”, which attempt to retrieve a tune based on sampled recording of a user singing an excerpt, have heretofore concentrated on relatively small, well-curated collections. Scaling up introduces three problems: availability of source material, an increase in false positive hits, and slower retrieval. We describe our experiments with MIDI files, propose a new, more accurate distance metric between queries and songs, and discuss possibilities for efficient indexing

Published in:

Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on  (Volume:2 )

Date of Conference: