Figure 1From: Identification of Sparse Audio Tampering Using Distributed Source Coding and Compressive Sensing TechniquesAn example of the result of the proposed audio tampering identification, applied to a fragment of speech read from a newspaper. A fragment of the original audio signalTampered audio, where the words "tredici milioni" have been replaced by "quindici miliardi"A coarse-scale perceptual time-frequency map of the original signal, from which the hash signature is computedThe tampering in the perceptual time-frequency domain as estimated by the proposed algorithmBack to article page