Novel Lie Speech Classification by using Voice Stress

Felipe Marcolla, Rafael de Santiago, Rudimar Dazzi

2020

Abstract

Lie detection is an open problem. Many types of research seek to develop an efficient and reliable method to solve this problem successfully. Among the methods used for this task, the polygraph, voice stress analysis, and pupil dilation analysis can be highlighted. This work aims to implement a neural network to perform the analysis of a person’s voice and to classify his speech as reliable or not. In order to reach the objectives, a recurrent neural network of LSTM architecture was implemented, based on an architecture already applied in other works, and through the variation of parameters, different results were found in the tests. A database with audio recordings was generated to perform the neural network training, from an interview with a randomly selected group. Considering all the neural network base models implemented, the one that showed prominence presented a precision of 72.5% of the data samples. For the type of problem in focus, which is voice stress analysis, the result is statistically significant and denotes that it is possible to find patterns in the voice of people who are under stress.

Paper Citation

in Harvard Style

Marcolla F., de Santiago R. and Dazzi R. (2020). Novel Lie Speech Classification by using Voice Stress. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7, pages 742-749. DOI: 10.5220/0009038707420749

in Bibtex Style

@conference{icaart20,
author={Felipe Marcolla and Rafael de Santiago and Rudimar Dazzi},
title={Novel Lie Speech Classification by using Voice Stress},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={742-749},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009038707420749},
isbn={978-989-758-395-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Novel Lie Speech Classification by using Voice Stress
SN - 978-989-758-395-7
AU - Marcolla F.
AU - de Santiago R.
AU - Dazzi R.
PY - 2020
SP - 742
EP - 749
DO - 10.5220/0009038707420749