Use of Machine Learning for Deception Detection From Spectral and Cepstral Features of Speech Signals

In this research, four unique nonlinear speech features are extracted and analyzed to study the dissimilarity pattern between when the speaker is being deceitful and truthful based on how human speech is perceived. The speaker was under stress in a police interrogation where two ground truth and two...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Sinead V. Fernandes, Muhammad S. Ullah
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Subjects:	Cepstral features deception detection machine learning principal component analysis spectral features speech analysis
Online Access:	https://ieeexplore.ieee.org/document/9442753/