Deciphering Deception: Layered Voice Analysis to Identify False Confessions 

By : Niharika K.S, Prajwal Rastogi, P Paul Ramesh

Page No: 389-399

Abstract
Confessions hold immense power in the justice system, requiring careful scrutiny. LVA technology detects emotional cues to identify deception. The purpose of this study was to investigate the efficiency of Layered Voice Analysis in the identification of false confessions. This study included a sample of 30 participants, who were divided into two groups by random assignment. Group A (True Confession) made a threat call after which true confessions based on the threat call made were recorded. Group B (False Confession) was given a scripted story and false confessions were recorded. These interview recordings, using the Layered Voice Analysis instrument were further analysed and tested over the instrument and using statistical analysis. The results highlight the higher sensitivity of offline analysis, which proves beneficial and more credible for detecting deception in layered voice analysis. Some parameters of the LVA discussed in this paper can be better relied upon for clear differentiation. 

Authors :
Niharika K.S : MSc. Forensic Science, Garden City University, Battarahalli, Bengaluru, Karnataka, India 
Prajwal Rastogi : Forensic Professional, Forensic Psychology Division, Central Forensic Science Laboratory, Ministry of Home Affairs, Government of India, New Town, Kolkata India. 
Dr. P Paul Ramesh : Scientist- D/Deputy Director, Physics Division, Central Forensic Science Laboratory, Ministry of Home Affairs, Government of India, New Town, Kolkata India.
 

DOI: https://doi.org/10.32381/JPR.2024.19.02.19