A Robust Audio Fingerprint Extraction Algorithm

Jerome Lebosse &
Luc Brun &
Jean Claude Pailles.

An Audio fingerprint is a small digest of an audio file computed from its main perceptual properties. Like human fingerprints, Audio fingerprints allow to identify an audio file among a set of candidates but does not allow to retreive any other characteristics of the files. Applications of Audio fingerprint include audio monitoring on broadcast chanels, filtering peer to peer networks, meta data restoration in large audio library and the protection of author's copyrights within a Digital Right Management(DRM) system. We propose in this paper a new fingerprint extraction algorithm which combines a segmentation method with a new fingerprint construction scheme. The proposed method is robust against compression and time shifting alterations of the audio files.