RARE: Robust Audio Recognition Engine
Chris Burges, John Platt, Erin Renshaw and Jonathan Goldstein
Some papers:
A IEEE paper describing technical details and tests on a large database (10 pages, postscript)
A shorter paper describing the feature extraction algorithms used (4 pages, pdf)
A tech report on a new bitvector matching algorithm for fast lookup (12 pages, pdf)
Using fingerprints to find choruses in music (5 pages, pdf)
Brief Description:
Audio fingerprinting attempts to identify
audio, either in a noisy audio stream or in files, against a database of
fingerprints. The fingerprints are constructed previously from clean copies of
the clips; in this work, fingerprints of length 256 bytes are used, although the
length is easily changed. Our audio fingerprinting works with any kind of audio
(the algorithm does not rely on particular properties of music).