@InProceedings{CI-Lebosse-2007,


author = {J'erome Leboss'e and Luc Brun and Pailles, Jean Claude},
title = {A Robust Audio Fingerprint's Based Identification Method},
booktitle = {Proceedings of IbPRIA'2007},
pages = {185-192},
year = 2007,
editor = {Joan Marti and Benedi, Jose Miguel and Mendonca, Ana Maria and Serrat, Joan},
volume = {I},
number = 4477,
address = {Girona},
month = {June},
publisher = {LNCS},
theme= {fingerprint},
abstract= "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
retrieve 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 based on a new audio
segmentation method. A scoring function based on q-grams
is used to determine if an input signal is a derivated
version of a fingerprint stored in the database. A rule
based on this scoring function allows to either recover
the original input file or to decide that no fingerprint
belonging to the database correspond to the signal. The
proposed method is robust against compression and time
shifting alterations of audio files.",
url = {article(ps):=https://brunl01.users.greyc.fr/ARTICLES/ibpria2007.ps}


 }