THEORETICAL MODELING OF A ROBUST AUDIO FINGERPRINTING SYSTEM

An audio fingerprint is a compact representation of the perceptually relevant parts of audio content. A fingerprint can be used to identify the audio file, even if it is severely degraded due to compression or other types of signal processing operations. When degraded, the fingerprint closely resembles the fingerprint of the original, but is not identical. We would like to use the fingerprint not only to identify the song but also to determine the perceptual quality of the degraded (compressed) content. In order to develop such a fingerprinting scheme, a model is needed to assess the behaviour of a fingerprint subject to compression. In this paper we develop a model for an existing robust fingerprinting system to gain more theoretical foundation.