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

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dc.contributor.authorSalem, Abderraouf Ben
dc.contributor.authorSelouani, Sid-Ahmed
dc.contributor.authorHamam, Habib
dc.contributor.authorCaelen, Jean
dc.date.accessioned2020-01-30T10:51:16Z
dc.date.available2020-01-30T10:51:16Z
dc.date.copyright2009en_US
dc.date.issued2009
dc.descriptionThis 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.abstractIn 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.identifier.citationBen 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.2009.4959858en_US
dc.identifier.isbn9781424423545
dc.identifier.issn15206149
dc.identifier.urihttp://dx.doi.org/10.1109/ICASSP.2009.4959858
dc.identifier.urihttp://hdl.handle.net/20.500.12519/95
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relationAuthors 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.ispartofseriesICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings;
dc.rightsPermission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holderCopyright : 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.
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html
dc.subjectAudio attacksen_US
dc.subjectAudio hashingen_US
dc.subjectEar modelen_US
dc.subjectFront-end processingen_US
dc.subjectHash valueen_US
dc.subjectHuman auditory systemen_US
dc.subjectHuman basilar membranesen_US
dc.subjectNonlinear filteren_US
dc.subjectAcousticsen_US
dc.subjectFeature extractionen_US
dc.subjectFilter banksen_US
dc.subjectSignal processingen_US
dc.subjectBit error rate (BER) performanceen_US
dc.titleA highly robust audio hashing system using auditory-based front-end processingen_US
dc.typeConference Paperen_US

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