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Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS

In the existingtechnology, there are severalways for lie detection. Voice Stress Analysis is one of the methods for lie detection. It measures the amount of stress in the subject's voice to detect whether the subject is being truthful or not. The VSA is reported to be cheaper, easier to use,...

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Main Author: ZAHAR, HAZLIN AZMIRA
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2006
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/7070/1/2006%20-%20LIE%20DETECTION%20USING%20VOICE%20STRESS%20ANALYSIS.pdf
http://utpedia.utp.edu.my/7070/
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spelling my-utp-utpedia.70702017-01-25T09:46:19Z http://utpedia.utp.edu.my/7070/ Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS ZAHAR, HAZLIN AZMIRA TK Electrical engineering. Electronics Nuclear engineering In the existingtechnology, there are severalways for lie detection. Voice Stress Analysis is one of the methods for lie detection. It measures the amount of stress in the subject's voice to detect whether the subject is being truthful or not. The VSA is reported to be cheaper, easier to use, less invasive, less constrained in their operation and more accurate than polygraph with 90 to 95% accuracy. In this project, the theory of Voice Stress Analysis is used to detect deception. Developing the software of lie detection using MATLAB will help in the investigations of law enforcers to detect deception. There are two approaches that are used in this project which are frequency based system and energy based system. The frequency based system detects lie using the variation in the output graph. High variation indicates low stress or 'truthful' voice and low variation indicates high stress or 'lying' voice. The energy based system however, detects deception in the energy spectrum of the voice at 20 to 40 Hz frequency. A flat waveform indicates hard stress while a sharp waveform indicates low stress. Using MATLAB, the voice is processed and both methods are applied. The results for both methods are then compared with the result of a polygraph test. It is found that both methods have different results on certain voice samples and also similar results on certain voice samples. However, the energy based system has more similar results than the frequency based system. Thus, it is more accurate. Universiti Teknologi Petronas 2006-06 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/7070/1/2006%20-%20LIE%20DETECTION%20USING%20VOICE%20STRESS%20ANALYSIS.pdf ZAHAR, HAZLIN AZMIRA (2006) Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
ZAHAR, HAZLIN AZMIRA
Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS
description In the existingtechnology, there are severalways for lie detection. Voice Stress Analysis is one of the methods for lie detection. It measures the amount of stress in the subject's voice to detect whether the subject is being truthful or not. The VSA is reported to be cheaper, easier to use, less invasive, less constrained in their operation and more accurate than polygraph with 90 to 95% accuracy. In this project, the theory of Voice Stress Analysis is used to detect deception. Developing the software of lie detection using MATLAB will help in the investigations of law enforcers to detect deception. There are two approaches that are used in this project which are frequency based system and energy based system. The frequency based system detects lie using the variation in the output graph. High variation indicates low stress or 'truthful' voice and low variation indicates high stress or 'lying' voice. The energy based system however, detects deception in the energy spectrum of the voice at 20 to 40 Hz frequency. A flat waveform indicates hard stress while a sharp waveform indicates low stress. Using MATLAB, the voice is processed and both methods are applied. The results for both methods are then compared with the result of a polygraph test. It is found that both methods have different results on certain voice samples and also similar results on certain voice samples. However, the energy based system has more similar results than the frequency based system. Thus, it is more accurate.
format Final Year Project
author ZAHAR, HAZLIN AZMIRA
author_facet ZAHAR, HAZLIN AZMIRA
author_sort ZAHAR, HAZLIN AZMIRA
title Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS
title_short Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS
title_full Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS
title_fullStr Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS
title_full_unstemmed Approved: CERTIFICATION OF APPROVAL LIE DETECTION USING VOICE STRESS ANALYSIS
title_sort approved: certification of approval lie detection using voice stress analysis
publisher Universiti Teknologi Petronas
publishDate 2006
url http://utpedia.utp.edu.my/7070/1/2006%20-%20LIE%20DETECTION%20USING%20VOICE%20STRESS%20ANALYSIS.pdf
http://utpedia.utp.edu.my/7070/
_version_ 1739831417739673600
score 13.211869

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