Perceptual audio hashing functions

Authors:
Hamza Özer;Bülent Sankur;Nasir Memon;Emin Anarim
Affiliations:
Department of Electrical and Electronics Engineering, Boǧaziçi University, Bebek, Istanbul, Turkey and National Research Institute of Electronics and Cryptology, Tubitak, Kocaeli, Turkey;Department of Electrical and Electronics Engineering, Boǧaziçi University, Bebek, Istanbul, Turkey;Department of Computer and Information Science, Polytechnic University, Brooklyn, NY;Department of Electrical and Electronics Engineering, Boǧaziçi University, Bebek, Istanbul, Turkey
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

Citing 4
Cited 10

Efficient retrieval for browsing large image databases

CIKM '96 Proceedings of the fifth international conference on Information and knowledge management
A robust audio classification and segmentation method

MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
A Perceptual Audio Hashing Algorithm: A Tool for Robust Audio Identification and Information Hiding

IHW '01 Proceedings of the 4th International Workshop on Information Hiding
Hierarchical classification of audio data for archiving and retrieving

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06

Histogram-based image hashing scheme robust against geometric deformations

Proceedings of the 9th workshop on Multimedia & security
Key-dependent JPEG2000-based robust hashing for secure image authentication

EURASIP Journal on Information Security
Audio watermarking robust against time-scale modification and MP3 compression

Signal Processing
Automatic identification of audio recordings based on statistical modeling

Signal Processing
Speech Hashing Algorithm Based on Short-Time Stability

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Improving security of JPEG2000-based robust hashing using key dependent wavelet packet subband structures

WAMUS'07 Proceedings of the 7th WSEAS international conference on Wavelet analysis & multirate systems
Random Gray code and its performance analysis for image hashing

Signal Processing
Histogram-based image hashing for searching content-preserving copies

Transactions on data hiding and multimedia security VI
Perceptual audio hashing algorithm based on Zernike moment and maximum-likelihood watermark detection

Digital Signal Processing
A local fingerprinting approach for audio copy detection

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.