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A Quick Review of Audio Fingerprinting

Overview Simply put, audio fingerprinting is the process by which we are able to identify some piece of music, given just a few seconds of input to go on. The ability to do so is quite an astonishing feat, one that requires a complex level of math and the compilation of huge databases. Specifically, a fixed length of audio input is converted to a low-dimensional vector; this conversion process extracts certain spectral features from the signal based on psychoacoustic considerations (Haitsma and Kalker, 2002). This fingerprint, as it’s called, is then compared to a large database of pre-computed fingerprints in order to determine from whence it came. Many companies are jockeying for market dominance, and to make sure that their system becomes the de facto standard. Philips, Microsoft, Fraunhauser are but a few. This is interesting as we consider how integrated this technology will likely become in the next few years; for instance, it is already an underlying feature of the MPEG-7 standard. In any case, it will prove to be a lucrative pursuit.