Key-dependent audio fingerprinting technique based on a quantisation minimum-distance hash extractor in the DWT domain

A novel key-dependent audio fingerprinting technique is proposed by introducing the quantisation minimum distance (QMD) as a hash extractor in the discrete wavelet transform (DWT) domain. The quantiser dithers of the QMD are generated using a chaotic map whose initial value is used as a secret key f...

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Bibliographic Details
Published in:Electronics letters 2018-05, Vol.54 (11), p.720-722
Main Authors: Terchi, Y, Bouguezel, S
Format: Article
Language:English
Subjects:
audio signal processing
audio signals
chaos
chaotic map
discrete wavelet transform
discrete wavelet transforms
DWT domain
feature extraction
fingerprint extraction
key‐dependent audio fingerprinting technique
Philips robust hash based techniques
QMD
quantisation (signal)
quantisation minimum‐distance hash extractor
secret key
Signal processing
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Summary:A novel key-dependent audio fingerprinting technique is proposed by introducing the quantisation minimum distance (QMD) as a hash extractor in the discrete wavelet transform (DWT) domain. The quantiser dithers of the QMD are generated using a chaotic map whose initial value is used as a secret key for fingerprint extraction. Experimental results show that the proposed audio fingerprinting technique achieves with a small fingerprint size an excellent discrimination between audio signals of different contents and outperforms the existing Philips robust hash based techniques in terms of the robustness.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2018.0045