Detection and classification of double compressed MP3 audio tracks

  • Authors:
  • Tiziano Bianchi;Alessia De Rosa;Marco Fontani;Giovanni Rocciolo;Alessandro Piva

  • Affiliations:
  • Politecnico di Torino, Torino, Italy;National Inter-University Consortium for Telecommunications, Firenze, Italy;University of Siena, Siena, Italy;University of Florence, Firenze, Italy;University of Florence, Firenze, Italy

  • Venue:
  • Proceedings of the first ACM workshop on Information hiding and multimedia security
  • Year:
  • 2013

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Abstract

In this paper, a method to detect the presence of double compression in a MP3 audio file is proposed. By exploiting the effect of double compression in the statistical properties of quantized MDCT coefficients, a single measure is derived to decide if a MP3 file is single compressed or it has been double compressed and also to devise the bit-rate of the first compression. Experimental results confirm the performance of the detector, mainly when the bit-rate of the second compression is higher than the bit-rate of the first one.