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Examination of Firearms Review: 2007 to 2010 - Interpol

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differences between analog and digital media. To address the need <strong>to</strong> authenticate<br />

digital audio, Grigoras (16) presented statistical <strong>to</strong>ols <strong>to</strong> detect traces <strong>of</strong><br />

(re)compression data. The <strong>to</strong>ol is used <strong>to</strong> assess compression generation and <strong>to</strong><br />

discriminate between different compression algorithms. In a technique specific <strong>to</strong> MP3<br />

compression, Yang, Qu and Huang (17) examined the frame <strong>of</strong>fsets <strong>to</strong> detect<br />

manipulation. MP3 audio samples are divided in<strong>to</strong> frames <strong>to</strong> encode with each frame<br />

having its own <strong>of</strong>fset after encoding. Manipulation can lead <strong>to</strong> broken frame grids.<br />

Detection rates using this technique were reported <strong>to</strong> be 94%. In order <strong>to</strong> detect buttsliced<br />

edits, Cooper (18) presented a simple signal processing method having<br />

significant benefits over traditional approaches. This method is based on high pass<br />

filtering the audio and modeling a discontinuity at higher frequencies; it is used <strong>to</strong><br />

complement other techniques since no single method can determine authenticity.<br />

While not as frequent as with digital recordings, authentication <strong>of</strong> analog recordings is<br />

still necessary on occasion. Visualization <strong>of</strong> magnetic features is the most effective<br />

method for authentication <strong>of</strong> analog recording. Boss (19) described methods <strong>of</strong><br />

visualization including using crystals with polarizing microscopes, a MOSeS (Magne<strong>to</strong>-<br />

Optical Sensor System) device, and a MOA-KOF (Magne<strong>to</strong>-Optical Analysis) device.<br />

Images <strong>of</strong> visualized recordings including start and s<strong>to</strong>p marks; an example is given <strong>of</strong><br />

how visualization can explain certain recording peculiarities (in this case likely due <strong>to</strong> a<br />

tape fold). Another discussion <strong>of</strong> magnetic visualization methods was presented by<br />

Broyles (20). The advantages and disadvantages <strong>of</strong> ferr<strong>of</strong>luids compared <strong>to</strong> magne<strong>to</strong>optical<br />

film imaging methods are discussed. Supporting test images are included.<br />

Koenig, Lacey and Killion (21) described the components <strong>of</strong> a macropho<strong>to</strong>graphy<br />

system <strong>to</strong> capture images <strong>of</strong> Bitter (ferr<strong>of</strong>luid development) patterns commonly used on<br />

audio duplication, enhancement, authentication and voice comparison examination <strong>of</strong><br />

audio tapes.<br />

In a technique valid <strong>to</strong> both analog and digital audio recordings, Malik and Farid (22)<br />

described a technique <strong>to</strong> estimate the amount <strong>of</strong> reverberation in a recording.<br />

Differences in estimated reverberation in a recording purported <strong>to</strong> be from a single<br />

environment can be used as evidence <strong>of</strong> manipulation.<br />

3. Speaker Identification (Matthew Graves)<br />


<br />

This review will focus on speaker identification and the developments and research<br />

conducted in this field between <strong>2007</strong> and <strong>2010</strong>. While the overview provided here<br />

contains many sources for information regarding speaker identification, members <strong>of</strong> the<br />

Digital Evidence Branch at the United States Army Criminal Investigation Labora<strong>to</strong>ry<br />


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