dc.creatorJOSE JUAN GARCIA HERNANDEZ
dc.creatorCLAUDIA FEREGRINO URIBE
dc.creatorRENE ARMANDO CUMPLIDO PARRA
dc.date2013
dc.date.accessioned2023-07-25T16:25:25Z
dc.date.available2023-07-25T16:25:25Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2344
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807520
dc.descriptionCollusion-resistant fingerprinting paradigm seems to be a practical solution to the piracy problem as it allows media owners to detect any unauthorized copy and trace it back to the dishonest users. Despite the billionaire losses in the music industry, most of the collusion-resistant fingerprinting systems are devoted to digital images and very few to audio signals. In this paper, state-of-the-art collusion-resistant fingerprinting ideas are extended to audio signals and the corresponding parameters and operation conditions are proposed. Moreover, in order to carry out fingerprint detection using just a fraction of the pirate audio clip, block-based embedding and its corresponding detector is proposed. Extensive simulations show the robustness of the proposed system against average collusion attack. Moreover, by using an efficient Fast Fourier Transform core and standard computer machines it is shown that the proposed system is suitable for real-world scenarios.
dc.formatapplication/pdf
dc.languageeng
dc.publisherPLOS ONE
dc.relationcitation:García-Hernández, J.J., et al., (2013). Collusion-Resistant Audio Fingerprinting System in the Modulated Complex Lapped Transform Domain, PLOS ONE, Vol. 8 (6): 1-15
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleCollusion-Resistant Audio Fingerprinting System in the Modulated Complex Lapped Transform Domain
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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