A highly robust audio hashing system using auditory-based front-end processing
Institute of Electrical and Electronics Engineers Inc.
In this paper, a robust perceptual audio hashing system is presented. A model of the human auditory system is used to extract robust features from the outputs of a non-linear filter bank that mimics the human basilar membrane. Experiments on various audio excerpts show that this new ear-based frontend processing provides very effective hash values. The proposed audio hashing system performs very satisfactorily in identification and it turned out very resilient to a large variety of severe audio attacks. ©2009 IEEE.
This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (2009), available online at: https://doi.org/10.1109/ICASSP.2009.4959858.
Audio attacks, Audio hashing, Ear model, Front-end processing, Hash value, Human auditory system, Human basilar membranes, Nonlinear filter, Acoustics, Feature extraction, Filter banks, Signal processing, Bit error rate (BER) performance
Ben Salem, A., Selouani, S.-A., Hamam, H., & Caelen, J. (2009). A highly robust audio hashing system using auditory-based front-end processing. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1413–1416). https://doi.org/10.1109/ICASSP.2009.4959858