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A highly robust audio hashing system using auditory-based front-end processing

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dc.contributor.author Salem, Abderraouf Ben
dc.contributor.author Selouani, Sid-Ahmed
dc.contributor.author Hamam, Habib
dc.contributor.author Caelen, Jean
dc.date.accessioned 2020-01-30T10:51:16Z
dc.date.available 2020-01-30T10:51:16Z
dc.date.copyright 2009 en_US
dc.date.issued 2009
dc.identifier.citation 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 en_US
dc.identifier.isbn 9781424423545
dc.identifier.issn 15206149
dc.identifier.uri http://dx.doi.org/10.1109/ICASSP.2009.4959858
dc.identifier.uri http://hdl.handle.net/20.500.12519/95
dc.description 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. en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors Affiliations: Ben Salem, A., Université de Moncton, Campus de Shippagan, NB E8S 1P6, Canada; Selouani, S.-A., Université de Moncton, Campus de Shippagan, NB E8S 1P6, Canada; Hamam, H., Université de Moncton, Campus de Moncton, NB E1A 3E9, Canada, Canadian University of Dubai, Dubai, United Arab Emirates; Caelen, J., IMAG (UJF and CNRS), BP 53, 38041, Grenoble Cedex 9, France
dc.relation.ispartofseries ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings;
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.subject Audio attacks en_US
dc.subject Audio hashing en_US
dc.subject Ear model en_US
dc.subject Front-end processing en_US
dc.subject Hash value en_US
dc.subject Human auditory system en_US
dc.subject Human basilar membranes en_US
dc.subject Nonlinear filter en_US
dc.subject Acoustics en_US
dc.subject Feature extraction en_US
dc.subject Filter banks en_US
dc.subject Signal processing en_US
dc.subject Bit error rate (BER) performance en_US
dc.title A highly robust audio hashing system using auditory-based front-end processing en_US
dc.type Conference Paper en_US
dc.rights.holder Copyright : 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.


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