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Comparative Study
| Published: November 18, 2023
A Comparative Study of Sex-Based Difference in Emotional Response of Suspects During Interrogation Using Layered Voice Analysis (LVA)
Forensic Professional, Forensic Psychology Division, CFSL, DFSS, New Delhi, India Google Scholar More about the auther
Assistant Director and Scientist ‘C’ Forensic Psychology Division, CFSL, DFSS, New Delhi, India Google Scholar More about the auther
DIP: 18.01.123.20231104
DOI: 10.25215/1104.123
ABSTRACT
The study of speech for reasons other than linguistic content, such as speech recognition, is known as voice analysis. Layered Voice Analysis (LVA) analyses frequency fluctuations in the subject’s replies that signify vocal stress by measuring and quantifying them using a microphone connected to a computer. It is possible to identify the various stress levels, cognitive processes, and emotional reactions that are conveyed in the voice’s distinct features using layered voice analysis. LVA uses a unique statistical formulation that is integrated into the system to recognise different patterns and abnormalities in the speech flow and classify them according to stress, excitement, uncertainty, and other relevant emotional states. This study compares the difference in emotional reactivity in males and females suspected of a crime on a sample of 60 suspects (30 males and 30 females) aged between 18 to 40 years and uses LVA offline mode which can analyse up to 16 emotions. The comparison is done on four different emotional reaction levels which are emotional level, cognitive level, stress level and thinking Level.
Keywords
Forensic Psychology, Layered Voice Analysis (LVA), Crime and Justice, Detection of Deception, Emotional Reactivity
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2023, Majumdar, S. & Rupaali, A.
Received: September 18, 2023; Revision Received: November 14, 2023; Accepted: November 18, 2023
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.123.20231104
10.25215/1104.123
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Published in Volume 11, Issue 4, October-December, 2023