Perceptual hash functions provide a tool for fast and reliable identification of content. We present new audio hash functions based on summarization of the time-frequency spectral characteristics of an audio document. The proposed hash functions are based on the periodicity series of the fundamental frequency and on singular-value description of the cepstral frequencies. They are found, on one hand, to perform very satisfactorily in identification and verification tests, and on the other hand, to be very resilient to a large variety of attacks. Moreover, we address the issue of security of hashes and propose a keying technique, and thereby a key-dependent hash function.
Perceptual Audio Hashing Functions
1 Department of Electrical and Electronics Engineering, Boğaziçi University, Bebek, Istanbul 34342, Turkey
2 National Research Institute of Electronics and Cryptology, Tubitak, Gebze, Kocaeli 41470, Turkey
3 Department of Computer and Information Science, Polytechnic University, Brooklyn, NY 11201, USA
EURASIP Journal on Advances in Signal Processing 2005, 2005:658950 doi:10.1155/ASP.2005.1780
The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2005/12/658950
|Received:||13 September 2004|
|Revisions received:||16 February 2005|
|Published:||28 July 2005|
© 2005 Özer et al.
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.