Interdependencies among voice source parameters in emotional speech

J Sundberg, S Patel, E Bjorkner… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Emotions have strong effects on the voice production mechanisms and consequently on
voice characteristics. The magnitude of these effects, measured using voice source …

Cross-cultural production and detection of deception from speech

SI Levitan, G An, M Wang, G Mendels… - Proceedings of the …, 2015 - dl.acm.org
Detecting deception from different dimensions of human behavior has been a major goal of
research in psychology and computational linguistics for some years and is currently of …

[PDF][PDF] Cross-Database Models for the Classification of Dysarthria Presence.

S Gillespie, YY Logan, E Moore, J Laures-Gore… - Interspeech, 2017 - researchgate.net
Dysarthria is a motor speech disorder that impacts verbal articulation and co-ordination,
resulting in slow, slurred and imprecise speech. Automated classification of dysarthria …

Voice source under cognitive load: Effects and classification

TF Yap, J Epps, E Ambikairajah, EHC Choi - Speech Communication, 2015 - Elsevier
Cognitive load refers to the mental demand experienced while performing a cognitive task. A
cognitive load measurement system can potentially be a useful tool for monitoring and …

[PDF][PDF] Individual differences in deception and deception detection

SI Levitan, M Levine, J Hirschberg, N Cestero… - COGNTIVE …, 2015 - academia.edu
We are building a new corpus of deceptive and non-deceptive speech, using American
English and Mandarin Chinese adult native speakers, to investigate individual and cultural …

The acoustic and temporal characteristics of deceptive speech

C Kirchhuebel - 2013 - etheses.whiterose.ac.uk
Voice stress analysis based technologies, commonly known as Voice Stress Analysers
(VSA), which are said to measure peoples' veracity based on the speech signal, have come …

Towards multimodal deception detection--step 1: building a collection of deceptive videos

R Mihalcea, M Burzo - Proceedings of the 14th ACM international …, 2012 - dl.acm.org
In this paper, we introduce a novel crowdsourced dataset of deceptive videos. We describe
the collection process and the characteristics of the dataset, and we validate it through initial …

Automatic detection of deceit in verbal communication

R Mihalcea, V Pérez-Rosas, M Burzo - Proceedings of the 15th ACM on …, 2013 - dl.acm.org
This paper presents experiments in building a classifier for the automatic detection of deceit.
Using a dataset of deceptive videos, we run several comparative evaluations focusing on …

A study of voice source and vocal tract filter based features in cognitive load classification

PN Le, J Epps, EHC Choi… - 2010 20th International …, 2010 - ieeexplore.ieee.org
Speech has been recognized as an attractive method for the measurement of cognitive load.
Previous approaches have used mel frequency cepstral coefficients (MFCCs) as …

[HTML][HTML] Deception detection in conversations using the proximity of linguistic markers

N Bajaj, M Rajwadi, TG Constance, J Wall… - Knowledge-Based …, 2023 - Elsevier
Detecting the elements of deception in a conversation takes years of study and experience,
and it is a skill set primarily used in law-enforcement agencies. In ever-growing business …