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Methods of Time-Frequency Analysis in Authentication of Digital Audio Recordings

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Języki publikacji
EN
Abstrakty
EN
This paper describes the problem of tampering detection and discusses the main methods used for authenticity analysis of digital audio recordings. For the first topic, two frequency measurement algorithms based on electric network frequency criterion are applied. Time-frequency analysis is used and improved with reassignment method for purpose of visual inspection of modified recordings. The algorithms are shortly described and exemplary plots are presented with interpretation. The last described method, recently proposed, is based on checking frame offsets in compressed audio files.
Twórcy
autor
  • Institute of Radioelectronics, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland, R.Korycki@ire.pw.edu.pl
Bibliografia
  • [1] M. Aiello and A. Cataliotti, “Chirp-Z Transform-Based Synchronizer for Power System Measurements”, IEEE Transactions on Instrumentation and Measurement, vol. 54 (3), pp. 1025-1032, 2005.
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  • [3] F. Auger, E. Chassande-Mottin, and P. Flandrin, Time-Frequency Reassignment: From Principles to Algorithms, Tempe, Arizona: CRC Press, 2003.
  • [4] F. Auger and P. Flandrin, “Improving the readability of time-frequency and time-scale representations by the reassignment method” IEEE Transactions of Signal Processing, vol. 43 (5), 1068-1089, 1995.
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  • [6] M. Bollen, I. Gu, S. Ronnberg, and A. Tjader, “Performance evaluation for frequency estimation of transients using the ESPRIT: Measured noise versus white noise”, in Proc. 13th International Conference of Harmonics and Quality of Power, Wollongong, Sept. 28, 2008, pp. 1-8.
  • [7] D. Boss, S. Gfroerer, and N. Neoustroev, “A new tool for visualization of magnetic features on audiotapes”, International Journal of Speech, Language and Law, vol. 10, pp. 255-276. 2003.
  • [8] J. Bouten, S. Donkers, and M. van Rijsbergen, “Derivation of transfer function for imaging polarimetry used in magneto-optical investigations of audio tapes in authenticity investigations”, Journal of Audio Engineering Society, vol. 55, pp. 257-265, 2007.
  • [9] Y. Chen and C. Hsu, “Image tampering detection by blocking periodicity analysis in JPEG compressed images”, in Proc. IEEE 10th Workshop on Multimedia Signal Processing, Cairns, Queensland, Oct. 8-10, 2008, pp. 803-808.
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  • [12] H. Farid and A. C. Popescu, “Exposing Digital Forgeries by Detecting Traces of Re-sampling”, IEEE Transactions on Signal Processing, vol. 53 (2), pp. 758-767, 2005.
  • [13] H. Farid and W. Wang, “Exposing Digital Forgeries in Video by Detecting Double Quantization” in Proc. ACM Multimedia and Security Workshop, Princeton, 2009.
  • [14] J. A. Garcia Sanchez-Molero, “Establishment of the individual characteristics of magnetic recording systems for identification purposes”, Problems of Forensic Science, vol. 47, pp. 20-39, 2001.
  • [15] R. Geiger, J. Herre, and S. Moehrs, “Analysing decompressed audio with the Inverse Decoder - towards an operative algorithm”, in Proc. 112th AES Convention, Munich, May 10-13, 2002.
  • [16] C. Grigoras, “Digital Audio Recording Analysis: The Electric Network Frequency (ENF) Criterion”, The International Journal of Speech Language and the Law, vol. 12 (2), pp. 63-76, 2005.
  • [17] C. Grigoras, “Applications of ENF criterion in forensic audio, video, computer and telecommunication analysis”, Forensic Science International, vol. 167, pp. 136-145, 2007.
  • [18] J. Huang, Z. Qu and R. Yang, “Detecting digital audio forgeries by checking frame offsets”, in Proc. of the 10th ACM workshop on Multimedia and security table of contents, International Multimedia Conference, Oxford, 2008, pp. 21-26.
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  • [20] R. Mikhael and Z. Salcic, “A new method for instantaneous power system frequency measurement using reference points detection”, Electric Power Systems Research, vol. 55 (2), pp. 97-102, 2000.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0046-0007
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