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Voice Stress Analysis for Deception Detection

Vinny Sharma, Shyam Narayan Singh1 null, Priyanka Raj2 null, Aditya Saini3 null, Md Azhan Tariq4 null

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Indian Journal of Forensic Medicine and Pathology 14(2 (Special Issue)):p 309-315, April-June 2021. | DOI: 10.21088/ijfmp.0974.3383.14221.42

How Cite This Article:

Narayan S. Voice stress analysis for deception detection. Indian J Forensic Med Pathol. 2021;14(2 Special):309-15.

Timeline

Received : April 02, 2021         Accepted : April 20, 2021          Published : June 30, 2021

Abstract

The Air Force Research Laboratory (AFRL) has been asked by the National Institute of Justice to investigate voice stress analysis (VSA) technology and evaluate its effectiveness for both military and law enforcement applications. This technology has been marked as commercially available in computer based form, and marketed as being capable of measuring stress and, in some systems, deception. This technology is reported to be easier to use, less invasive and less constrained in its operation than standard polygraph technology. This study has found the VSA technology can identify stress better than chance with performance approaching that of current polygraph systems. However, it is not a technology that is mature enough to be used in a court of law. We also found that experience and training improve the accuracy than less trained individuals. Lastly, we explored how this technology may become an effective interrogation tool, when combined with polygraph technology. This article contains information and results of a primary work done to show how the stress changes for Mel Frequency Cepstral Coefficient features can be detected through FFT signal processing when a person is under psychological pressure. The principal purpose is to obtain a tool that could help the accused to prove their innocence in an offense or a crime.


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Cite this article

Narayan S. Voice stress analysis for deception detection. Indian J Forensic Med Pathol. 2021;14(2 Special):309-15.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.



Received Accepted Published
April 02, 2021 April 20, 2021 June 30, 2021

DOI: 10.21088/ijfmp.0974.3383.14221.42

Keywords

vsavoice stress analysispolygraphdetection

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Received April 02, 2021
Accepted April 20, 2021
Published June 30, 2021

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.



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