Principal component neural networks: theory and applications
Principal component neural networks: theory and applications
Contrast Plots and P-Sphere Trees: Space vs. Time in Nearest Neighbour Searches
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A modulated complex lapped transform and its applications to audio processing
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 03
Accurate repeat finding and object skipping using fingerprints
Proceedings of the 13th annual ACM international conference on Multimedia
Indexing for function approximation
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Audio brush: a tool for computer-assisted smart audio editing
Proceedings of the 1st ACM workshop on Audio and music computing multimedia
A confidence based recognition system for TV commercial extraction
ADC '08 Proceedings of the nineteenth conference on Australasian database - Volume 75
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In this paper, we describe RARE (Robust Audio Recognition Engine): a system for identifying audio streams and files. RARE can be used in a variety of applications: from enhancing the consumer listening experience to cleaning large audio databases. RARE was designed with two key qualities in mind: robustness to distortion of the audio, and lookup speed. RARE identifies audio clips in a stream against a database of 1/4 million songs in real time using approximately 10% CPU on an 850 MHz P3, and with a measured false positive rate of 1.5x10-8 per clip, per database entry, at a false negative rate of 0.2% per clip. We demo RARE in real-time on a stream and on distorted files.