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| Published: February 28, 2022

A Forensic Psychological Study for Detection of Deception in Financial Fraud Calls on Layered Voice Analysis (LVATm)

Khevna Maniar

Forensic Professional (FPACT), Central Forensic Science Laboratory, Chandigarh. DFSS, MHA, Government of India Google Scholar More about the auther

, Sarthak Rathod

Forensic Professional (FPACT PLUS), Central Forensic Science Laboratory, Chandigarh. DFSS, MHA, Government of India Google Scholar More about the auther

, Akhlesh Kumar

Assistant Director & Scientist – ‘C’, Central Forensic Science Laboratory, Chandigarh. DFSS, MHA, Government of India Google Scholar More about the auther

, Dr. S. K. Jain

Director-cum-Chief Forensic Scientist, Central Forensic Science Laboratory, Chandigarh. DFSS, MHA, Government of India Google Scholar More about the auther

DIP: 18.01.057.20221001

DOI: 10.25215/1001.057

ABSTRACT

The most basic communication medium among humans is oral communication. While talking, humans share not only the content of the information via their language, dialect, and meaning but also their emotions regarding any given situation. These human emotions ranging from enthusiasm to stress to guilt can be detected in a forensic setup using the technology of layered voice analysis. Layered Voice Analysis (LVA) technology is a sensitive and reliable voice analysis software that detects psychological parameters through analysis of voice. In this research paper, 12 samples of fraud calls are analyzed using the LVA technology for deception detection. The online scams using telephonic conversations to lure the victims into sharing their bank details, OTP, PIN of credit/ debit cards, remote access to their devices, etc. have increased over the years and the lack of awareness of such crimes and their detection has become obvious. The authors of this research paper aim to increase the awareness of the prevention guide for online scams and establish a sensitive, resourceful technology for the detection of fraud in many cases. The technology of LVA can be utilized in deception detection to differentiate a genuine call from a fraud call, in online as well as offline (recorded) set-ups. This can moreover help the judicious and timely process of justice.

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Khevna Maniar @ khevnamaniar@gmail.com

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Article Overview

ISSN 2348-5396

ISSN 2349-3429

18.01.057.20221001

10.25215/1001.057

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Published in   Volume 10, Issue 1, January-March, 2022