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

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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:

2000