Expansion of vowel space following alcohol intoxication
Arian Shamei, Xinglei Liu. 2023
Alcohol intoxication is characterized by hypermetric movements in fine motor skills, but it remains unknown whether hypermetric movements manifest in speech following alcohol intoxication. Vowel space areas were compared across 162 speakers (85 male, 77 female ...
Automated detection of cannabis intoxication from speech
Arian Shamei, Peter R. Sullivan, Yadong Liu, Muhammad Abdul-Mageed, Bryan Gick. 2021
Machine learning can reliably distinguish a variety of mental and physical states based on acoustic alterations in the speech stream. Recent acoustic research found that cannabis intoxication results in significant differences in several acoustic correlates. Encouraged by ...
An acoustic analysis of cannabis-intoxicated speech
Arian Shamei, Sonya Bird. 2019
Speech from medicinal users of cannabis was compared before and after the consumption of cannabis to determine whether cannabis-intoxication produces salient acoustic correlates within the speech stream. Eight participants completed a variety of elicitation tasks (reading, ...
Steering wheel behavior based estimation of fatigue
Jarek Krajewski, David Sommer, Udo Trutschel, Dave Edwards, Martin Golz. 2009
This paper examined a steering behavior based fatigue monitoring system. The advantages of using steering behavior for detecting fatigue are that these systems measure continuously, cheaply, non-intrusively, and robustly even under extremely demanding environmental ...
Jarek Krajewski, Anton Batliner, Martin Golz . 2009
This article describes a general framework for detecting sleepiness states on the basis of prosody, articulation, and speech-quality-related speech characteristics. The advantages of this automatic real-time approach are that obtaining speech data is non-obstrusive and is free ...
Using Prosodic And Spectral Characteristics For Sleepiness Detection
Jarek Krajewski, Bernd Kröger. 2007
This paper describes a promising sleepiness detection approach based on prosodic and spectral speech characteristics and illustrates the validity of this method by briefly discussing results from a sleep deprivation study (N=20). We conducted a within-subject sleep deprivation design ...
An Acoustic Framework for Detecting Fatigue in Speech Based Human-Computer-Interaction
Jarek Krajewski, Rainer Wieland, Anton Batliner. 2008
... The main part of the feature computation is the combination of frame level based speech features and high level contour descriptors resulting in over 8,500 features per speech sample. In general the measurement process follows the speech adapted steps of pattern recognition ...
Estimating Fatigue from Predetermined Speech Samples Transmitted by Operator Communication Systems
Jarek Krajewski, Udo Trutschel, Martin Golz, David Sommer, Dave Edwards. 2009
We present an estimation of fatigue level within individual operators using voice analysis. One advantage of voice analysis is its utilization of already existing operator communications hardware (2-way radio). From the driver viewpoint it’s an unobtrusive, non-interfering ,...
A measure of strong driver fatigue
David Sommer, Martin Golz, Thomas Schnupp, Jarek Krajewski, Udo Trutschel, Dave Edwards. 2009
Strong fatigue during sustained operations is difficult to quantify because of its complex nature and large inter-individual differences. The most evident and unambiguous sign is the occurrence of microsleep (MS) events. We aimed at detecting MS utilizing computational intelligence ...
Detecting fatigue from steering behaviour applying continuous wavelet transform
Jarek Krajewski, Martin Golz, Sebastian Schnieder, Thomas Schnupp, Christian Heinze, David Sommer. 2010
The aim of this paper is to develop signal processing based method to measure fatigue from motor behaviour. The advantages of this steering wheel movement approach are that obtaining steering data within driving is robust, non obtrusive, free from sensor application and ...
Detecting sleepy drivers by pattern recognition based analysis of steering wheel behaviour
Jarek Krajewski, Martin Golz, and David Sommer. 2009
Using steering wheel behaviour based approaches for sleepiness monitoring might have the advantage of being cheap, non-intrusive, and robust even under extreme demanding environmental conditions (eg high background noise, temperature, or humidity). Twelve ...
Acoustic-prosodic characteristics of sleepy speech–between performance and interpretation
Florian Honig, Anton Batliner, Elmar Noth, Sebastian Schnieder, Jarek Krajewski. 2014
When we address speaker states like sleepiness, two partly competing interests can be observed: both within applications and engineering approaches, we aim at utmost performance in terms of classification or regression accuracy – which normally means using a very large feature vector ...
Multiple classifier applied on predicting microsleep from speech
Jarek Krajewski, Anton Batliner, Rainer Wieland. 2009
The aim of this study is to apply a state-of-the-art speech emotion recognition engine on the detection of microsleep endangered sleepiness states. Current approaches in speech emotion recognition use low-level descriptors and functionals to compute brute-force feature sets ...
Microsleep Episodes and Related Crashes During Overnight Driving Simulations
Martin Golz, David Sommer, Jarek Krajewski, Udo Trutschel, Dave Edwards. 2011
Microsleep (MS) episodes and related crashes were studied in an overnight driving simulation study. A new definition of MS proposed recently was applied and the mean number as well as the mean length of MS was calculated. MS occurred much more frequently than crashes. ...
Are men more sleepy than women or does it only look like—Automatic analysis of sleepy speech
Florian Honig, Anton Batliner, Tobias Booklet, Georg Stemmer, Elmar Nöth, Sebastian Schnieder, Jarek Krajewski. 2014
The degree of sleepiness in the Sleepy Language Corpus from the Interspeech 2011 Speaker State Challenge is predicted with regression and a very large feature vector. Most notable is the great gender difference which can mainly be attributed to females showing their sleepiness ...
Sleepiness detection from speech by perceptual features
Bilge Günsel, Cenk Sezgin, Jarek Krajewski. 2013
We propose a two-class classification scheme with a small number of features for sleepiness detection. Unlike the conventional methods that rely on the linguistics content of speech, we work with prosodic features extracted by psychoacoustic masking in spectral and temporal ...