We are pioneers in state detection research
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 ...
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 ...
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 ,...
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 ...
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 ...
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 ...
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 ...
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. ...
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 ...