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Artificial intelligence can help in the therapy context to improve treatments through new methods and to counteract the shortage of therapy places. In this contribution to the science show 3Sat nano ixp presents a robot and gives an insight into the underlying processes (May, 2021)
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A podcast by “Stimm Dich” from DetektorFM with Prof. Dr. Jarek Krajewski as guest. The episode discusses voice analysis tools with artificial intelligence, which are already being used in various fields, for example to recognise certain personality traits.
More information: https://detektor.fm/wissen/stimm-dich-stimme-und-technik
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Add some content for each one of your videos, like a description, transcript or external links.To add, remove or edit tab names, go to Tabs.
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Add some content for each one of your videos, like a description, transcript or external links.To add, remove or edit tab names, go to Tabs.
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Add some content for each one of your videos, like a description, transcript or external links.To add, remove or edit tab names, go to Tabs.
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Articles
Publications
Scientific Publications
- Mühl, L., Horstmann, A. C., Wittenborn, A., Storch, D., & Krajewski, J. (2021). Screen Me, Smartphone! Using an AI-Screening Tool to Assist Underage Refugees in Recognizing Potential Traumatization. In Mensch und Computer 2021 (pp. 54-58).
- Reichel, U. D., Triantafyllopoulos, A., Oates, C., Huber, S., & Schuller, B. (2020). Spoken Language Identification by Means of Acosutic Mid-level Descriptors. Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2020, 125-132.
- Demmer, J., Kitzig, A., Schlage, N., Stockmanns, G., & Naroska, E. (2020). Knetex–Development of a textile-integrated sensor system for feedback-supported rehabilitation after surgery of the anterior cruciate ligament. Current Directions in Biomedical Engineering, 6(3), 368-371.
- Ren, Z., Cummins, N., Han, J., Schnieder, S., Krajewski, J., & Schuller, B. (2018, October). Evaluation of the pain level from speech: Introducing a novel pain database and benchmarks. In Speech Communication; 13th ITG-Symposium (pp. 1-5). VDE.
- Freiwald, J., Hoppe, M. W., Beermann, W., Krajewski, J., & Baumgart, C. (2018). Effects of supplemental heat therapy in multimodal treated chronic low back pain patients on strength and flexibility. Clinical Biomechanics, 57, 107-113.
- Gadea, G. H., Kreuder, A., Stahlschmidt, C., Schnieder, S., & Krajewski, J. (2018, June). Brute Force ECG Feature Extraction Applied on Discomfort Detection. In International Conference on Information Technologies in Biomedicine (pp. 365-376). Springer, Cham.
- Pir, D., & Krajewski, J. (2018). Relevant Acoustic Group Features for Automatic Sleepiness Recognition. In ICT4AWE (pp. 209-214).
- Cummins, N., Schmitt, M., Amiriparian, S., Krajewski, J., & Schuller, B. (2017, July). “You sound ill, take the day off”: Automatic recognition of speech affected by upper respiratory tract infection. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3806-3809). IEEE.
- Pir, D., Brown, T., & Krajewski, J. (2017, April). Automatic Driver Sleepiness Detection using Wrapper-Based Acoustic Between-Groups, Within-Groups, and Individual Feature Selection. In VEHITS (pp. 196-202).
- Deb, S., Dandapat, S., & Krajewski, J. (2017). Analysis and classification of cold speech using variational mode decomposition. IEEE Transactions on Affective Computing, 11(2), 296-307.
- Golz, M., Sommer, D., Lachmann, M., Krajewski, J. (2017). Deep learning on EEG data for microsleep prediction. Current Directions in Biomedical Engineering, 3(2), 1-4.
- Golz, M., Wollner, S., Sommer, D., & Schnieder, S. (2017). EOG feature relevance determination for microsleep detection. Current Directions in Biomedical Engineering, 3(2), 261-264.
- Pilz, C. S., Zaunseder, S., Canzler, U., & Krajewski, J. (2017). Heart rate from face videos under realistic conditions for advanced driver monitoring. Current Directions in Biomedical Engineering, 3(2), 483-487.
- Pilz, C. S., Krajewski, J., & Blazek, V. (2017, September). On the diffusion process for heart rate estimation from face videos under realistic conditions. In German Conference on Pattern Recognition (pp. 361-373). Springer, Cham.
- Schuller, B., Steidl, S., Batliner, A., Bergelson, E., Krajewski, J., Janott, C., et al. (2017). The INTERSPEECH 2017 computational paralinguistics challenge: Addressee, cold & snoring. In Proceedings of Interspeech 2017 (pp. 3442-3446). doi:10.21437/Interspeech.2017-43.
- Cummins, N., Hantke, S., Schnieder, S., Krajewski, J., & Schuller, B. (2017). Classifying the context and emotion of dog barks: a comparison of acoustic feature representations.
- Golz, M., Sommer, D., & Krajewski, J. (2016). Prediction of immediately occurring microsleep events from brain electric signals. Current Directions in Biomedical Engineering, 2(1), 149-153.
- Krajewski, J., Schnieder, S., Monschau, C., Titt, R., Sommer, D., & Golz, M. (2016, October). Large Sleepy Reading Corpus (LSRC): Applying Read Speech for Detecting Sleepiness. In Speech Communication; 12. ITG Symposium (pp. 1-4). VDE.
- Pir, D., Brown, T., & Krajewski, J. (2016, September). Wrapper-Based Acoustic Group Feature Selection for Noise-Robust Automatic Sleepiness Classification. In Proceedings of the 4th International Workshop on Speech Processing in Everyday Environments (CHiME 2016) (pp. 78-81).
- Cummins, N., Sethu, V., Epps, J., Schnieder, S., & Krajewski, J. (2015). Analysis of acoustic space variability in speech affected by depression. Speech Communication, 75, 27-49.
- Cummins, N., Epps, J., Sethu, V., & Krajewski, J. (2015, April). Weighted pairwise Gaussian likelihood regression for depression score prediction. In 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 4779-4783). IEEE.
- Krajewski, J., Sauerland, M., & Muessigmann, M. (2015). The effects of priming-induced social approach and avoidance goals on the exploration of goal-relevant stimuli. Social Psychology.
- Sauerland, M., Soyeaux, H. M., & Krajewski, J. (2015). The influence of dysfunctional cognitions on job-related experiences and behaviour-a cognitive-behavioural perspective. International Journal of Human Resources Development and Management, 15(1), 40-53.
- Cummins, N., Scherer, S., Krajewski, J., Schnieder, S., Epps, J. & Quatierif, T. F. (2015). A review of depression and suicide risk detection and assessment using speech analysis paralinguistic analysis of depressed and pre-suicidal speech: a review. Computer Speech and Language.
- Sezgin, C., Gunsel, B., Krajewski, J. (2015). Medium term speaker state detection by perceptually masked spectral features. Computer Speech and Language, 67, 26 – 41.
- Golz, M., Sommer, D., & Krajewski, J. (2015). Driver sleepiness assessed by electroencephalography-different methods applied to one single data set.
- Golz, M., Sommer, D., & Krajewski, J. (2016). Prediction of immediately occurring microsleep events from brain electric signals. Current Directions in Biomedical Engineering, 2(1), 149-153.
- Golz, M., Sommer, D., Trutschel, U., Krajewski, J., & Sirois, B. (2013). Driver Drowsiness Immediately before Crashes–A Comparative Investigation of EEG Pattern Recognition.
- Schuller, B., Steidl, S., Batliner, A., Schiel, F., Krajewski, J. (2014). Introduction to the special issue on broadening the view on speaker analysis. Computer Speech and Language, 28, 343-345. (IF: 1,32)
- Schnieder, S., Stappert, S., Takahashi, M., Fricchione, G. L., Esch, T., & Krajewski, J. (2013). Sustainable reduction of sleepiness through salutogenic self-care procedure in lunch breaks: A Pilot Study. Evidence-Based Complementary and Alternative Medicine, 2013. (IF: 4,77)
- Holtfort, T., & Krajewski, J. (2014). Black swans, antifragility and pattern recognition at the German stock market. Corporate Finance, 12, 513 – 515.
- Cummins, N., Epps, J., Sethu, V., & Krajewski, J. (2014, May). Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech. In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 970-974). IEEE.
- Honig, F., Batliner, A., Booklet, T., Stemmer, G., Nöth, E., Schnieder, S., & Krajewski, J. (2014, May). Are men more sleepy than women or does it only look like—Automatic analysis of sleepy speech. In 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 995-999). IEEE.
- Cummins, N., Sethu, V., Epps, J., & Krajewski, J. (2014). Probabilistic acoustic volume analysis for speech affected by depression. In Fifteenth Annual Conference of the International Speech Communication Association.
- Hönig, F., Batliner, A., Nöth, E., Schnieder, S., & Krajewski, J. (2014). Automatic modelling of depressed speech: relevant features and relevance of gender.
- Hönig, F., Batliner, A., Nöth, E., Schnieder, S., & Krajewski, J. (2014). Acoustic-prosodic characteristics of sleepy speech–between performance and interpretation.
- Leder, A., Krajewski, J., & Schnieder, S. (2014) Komfortgewinn für Passagiere auf Langstreckenflügen durch den Einsatz einer nach chro-nobiologischen Erkenntnissen modifizierten LED-Kabinenbeleuchtung als Basis präventiver Jetlag-Reduktion.
- Schuller, B., Steidl, S., Batliner, A., Schiel, F., Krajewski, J., Weninger, F., & Eyben, F. (2014). Medium-term speaker states—A review on intoxication, sleepiness and the first challenge. Computer Speech & Language, 28(2), 346-374.
- Valstar, M., Schuller, B. W., Krajewski, J., Cowie, R., & Pantic, M. (2014, November). AVEC 2014: The 4th international audio/visual emotion challenge and workshop. In Proceedings of the 22nd ACM international conference on Multimedia (pp. 1243-1244).
- Valstar, M., Schuller, B., Smith, K., Almaev, T., Eyben, F., Krajewski, J. et al. (2014, November). Avec 2014: 3d dimensional affect and depression recognition challenge. In Proceedings of the 4th international workshop on audio/visual emotion challenge (pp. 3-10).
- Krajewski, J., Seiler, K., Schnieder, S. (2013). I did it my way – wie sich Erholungskompetenz messen lässt. Wirtschaftspsychologie aktuell, 4, 13-16.
- Schnieder, S., Esch, T., Takahashi, M., Stefano, G.B., Fricchione, G.L., & Krajewski J. (2013). Never feeling sleepy again? Sustainable reduction of sleepiness through relaxation in lunch break routines. Evidence-Based Complementary and Alternative Medicine.
- Schnieder, S., Stappert, S., Takahashi, M., Fricchione, G. L., Esch, T., & Krajewski, J. (2013). Sustainable reduction of sleepiness through salutogenic self-care procedure in lunch breaks: A pilot study. Evidence-Based Complementary and Alternative Medicine, 2013.
- Günsel, B., Sezgin, C., & Krajewski, J. (2013, May). Sleepiness detection from speech by perceptual features. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 788-792). IEEE.
- Valstar, M., Schuller, B., Krajewski, J., Cowie, R., & Pantic, M. (2013, October). Workshop summary for the 3rd international audio/visual emotion challenge and workshop (AVEC'13). In Proceedings of the 21st ACM international conference on Multimedia (pp. 1085-1086).
- Valstar, M., Schuller, B., Smith, K., Eyben, F., Jiang, B., Bilakhia, S., ... & Pantic, M. (2013, October). Avec 2013: the continuous audio/visual emotion and depression recognition challenge. In Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge (pp. 3-10).
- Sauerland, M., & Krajewski, J. (2012). Banner Blindness – Ein psychologischer Erklärungsversuch. Transfer: Werbeforschung und Praxis, 58, 6-17.
- Sauerland, M., Felser, G., & Krajewski, J. (2012). The effects of incidental ad exposure on consumption-enhancing and consumption-critical processes. Psychology & Marketing. 29, 782-790.
- Schnieder, S., Krajewski J., Esch, T., Baluch, B. & Wilhelm, B. (2012). Just valid or even accurate: Determine the measurement accuracy of the Pupillographic Sleepiness Test by applying self- and observer ratings. Somnology, Sleep Research and Sleep Medicine, 1, 1-15.
- Weninger, F., Krajewski, J., Batliner, A., & Schuller, B. (2012). The voice of leadership: Models and performances of automatic analysis in online speeches. IEEE Transactions on Affective Computing, 3(4), 496-508.
- Krajewski, J., Schnieder, S., Golz, M., Batliner, A., & Schuller, B. (2012). Applying multiple classifiers and non-linear dynamics feature for detecting sleepiness from speech.Journal of Neurocomputing, 84, 65-75. (IF: 1,58)
- Krajewski, J., Schnupp, T., Heinze, C., Schnieder, S., Laufenberg, T., Sommer, D., & Golz, M. (2012) A phonetic approach for detecting sleepiness from speech in simulated Air Traffic Controller-communication. Human Factors.
- Pursche, T., Krajewski, J., & Moeller, R. (2012, January). Video-based heart rate measurement from human faces. In 2012 IEEE international conference on consumer electronics (ICCE) (pp. 544-545). IEEE.
- Krajewski, J., Mühlenbrock, I., Schnieder, S. & Seiler, K. (2011). Wege aus der müden (Arbeits-) Gesellschaft: Erklärungsmodelle, Messansätze und Gegenmaßnahmen. Zeitschrift für Arbeitswissenschaft, 65, 97-115.
- Krajewski, J., Sauerland, M., & Muessigmann, M. (2011). The effects of priming-induced social approach and avoidance goals on the exploration of goal-relevant stimuli: An eye-tracking experiment. Journal of Social Psychology,42, 152-158.
- Krajewski, J., Sauerland, M., Sommer, D. & Golz, M. (2010). Phonetisch-akustische Schläfrigkeitsdetektion – eine Pilotstudie. Somnology, Sleep Research and Sleep Medicine, 4, 1-7.
- Golz, M., Sommer, D., Trutschel, U., Krajewski, J. (2011). Quantification of the Amount of Microsleep and its Relation to Accidents.
- Golz, M., Sommer, D., Krajewski, J., Trutschel, U., & Edwards, D. (2011). Microsleep episodes and related crashes during overnight driving simulations.
- Krajewski, J., Sauerland, M., & Wieland, R. (2011). Relaxation‐induced cortisol changes within lunch breaks–an experimental longitudinal worksite field study. Journal of Occupational and Organizational Psychology, 84(2), 382-394.
- Schuller, B., Steidl, S., Batliner, A., Schiel, F., & Krajewski, J. (2011). The INTERSPEECH 2011 speaker state challenge.
- Krajewski, J., Wieland, R., & Sauerland, M. (2010). Regulating strain states by using the recovery potential of lunch breaks. Journal of Occupational Health Psychology, 15, 131-139.
- Krajewski, J., Sauerland, M., & Wieland, R. (2010). Relaxation-induced cortisol changes within lunch breaks – An experimental longitudinal worksite field study. Journal of Occupational and Organizational Psychology, 1, 1-14.
- Krajewski, J., & Kessel, S. (2010). Phonetisch-akustische Detektion von Selbstsicherheit: Entwicklung eines automatisierten Messverfahrens zur Personalentwicklung (No. 2010-006). Schumpeter Discussion Papers.
- Krajewski, J., Sommer, D., Schnupp, T., Laufenberg, T., Heinze, C., & Golz, M. (2010, August). Applying nonlinear dynamics features for speech-based fatigue detection. In Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research (pp. 1-5).
- Krajewski, J., Schnupp, T., Schnieder, S., Sommer, D., Heinze, C., & Golz, M. (2010, August). Pattern recognition methods: a novel analysis for the pupillographic sleepiness test. In Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research (pp. 1-4).
- Krajewski, J., Batliner, A., & Kessel, S. (2010, August). Comparing multiple classifiers for speech-based detection of self-confidence-a pilot study. In 2010 20th International Conference on Pattern Recognition (pp. 3716-3719). IEEE.
- Krajewski, J., Golz, M., Schnieder, S., Schnupp, T., Heinze, C., & Sommer, D. (2010, August). Detecting fatigue from steering behaviour applying continuous wavelet transform. In Proceedings of the 7th International Conference on Methods and Techniques in Behavioral Research (pp. 1-4).
- Krajewski, J., Wieland, R., & Sauerland, M. (2010). Regulating strain states by using the recovery potential of lunch breaks. Journal of Occupational Health Psychology, 15(2), 131.
- Schenka, C., Schnupp, T., Heinze, C., Krajewski, J., & Golz, M. (2010, August). The compensatory tracking task: a pattern recognition based approach for classifying vigilance. In Proceedings Measuring Behavior (Vol. 7, pp. 470-472).
- Schnupp, T., Schenka, A., Sommer, D., Golz, M., & Krajewski, J. (2010, August). Using postural control system measures to detect hypovigilance. In Proceedings Measuring Behavior (Vol. 7, pp. 189-191).
- Koeberlein, J., Krajewski, J., Schaffert, C., Wieland, R., & Moesges, R. (2010). OPTIMIZATION OF GUIDELINES'SUSTAINABILITY BY EVALUATING FACTORS PREDICTING TREATMENT RESPONSE IN PATIENTS WITH ALLERGIC RHINITIS. Value Health, 13(7), A327-1.
- Krajewski, J., Batliner, A., & Golz, M. (2009). Acoustic sleepiness detection – Framework and validation of a speech adapted pattern recognition approach. Behavior Research Methods, 41, 795-804.
- Golz, M., Sommer, D., & Krajewski, J. (2009). Intra-Subject Variability of Fatigue Estimation Based on Driving Variables. In World Congress on Medical Physics and Biomedical Engineering, September 7-12, 2009, Munich, Germany (pp. 1657-1660). Springer, Berlin, Heidelberg.
- Heinze, C., Trutschel, U., Schnupp, T., Sommer, D., Schenka, A., Krajewski, J., & Golz, M. (2009). Operator fatigue estimation using heart rate measures. In World Congress on Medical Physics and Biomedical Engineering, September 7-12, 2009, Munich, Germany (pp. 930-933). Springer, Berlin, Heidelberg.
- Krajewski, J., Wieland, R., Sommer, D., & Gloz, M. (2009). Fatigue in Air Traffic Communication-combining Acoustic features within a Computational Intelligence Approach. In 28th conference of the European Association for Aviation Psychology (pp. 193-197).
- Krajewski, J., Golz, M., & Sommer, D. (2009). Detecting sleepy drivers by pattern recognition based analysis of steering wheel behaviour. Der Mensch im Mittelpunkt technischer Systeme, 288-291.
- Krajewski, J., Golz, M., Sommer, D., & Wieland, R. (2009). Genetic algorithm based feature selection applied on predicting microsleep from speech. In 4th European Conference of the International Federation for Medical and Biological Engineering (pp. 184-187). Springer, Berlin, Heidelberg.
- Krajewski, J. (2009). „Den Seinen gibt es der Herr im Schlaf “–Wie betriebliches Pausenmanagement müdigkeitsbedingte Motivationsverluste verhindert. Zündstoff Motivation: Motivierungsmethoden für Mitarbeiter, Führungskräfte und Organisationen, 79-112.
- Krajewski, J., Sommer, D., Trutschel, U., Edwards, D., & Golz, M. (2009). Steering wheel behavior based estimation of fatigue.
- Krajewski, J., Trutschel, U., Golz, M., Sommer, D., & Edwards, D. (2009). Estimating fatigue from predetermined speech samples transmitted by operator communication systems.
- Schnupp, T., Schenka, A., Edwards, D., Krajewski, J., & Golz, M. (2009). Is posturography a candidate for a vigilance test?. In World Congress on Medical Physics and Biomedical Engineering, September 7-12, 2009, Munich, Germany (pp. 388-391). Springer, Berlin, Heidelberg.
- Schnupp, T., Schenka, C., Krajewski, J., & Golz, M. (2010). Data analysis of the compensatory tracking task using computational intelligence. In Crossing Borders within the ABC: Automation, Biomedical Engineering and Computer Science (Vol. 55, pp. 515-518).
- Schnupp, T., Sommer, D., Krajewski, J., & Golz, M. (2010). Data analysis of the pupillographic sleepiness test utilizing computational intelligence. Proc Vigilanz, 1, 25-30.
- Schnupp, T., Sommer, D., Krajewski, J., Walther, L., & Golz, M. (2010). Testing for Vigilance by Posturography Using Recurrent Neural Networks.
- Sommer, D., Golz, M., & Krajewski, J. (2009). Consecutive detection of extreme central fatigue. In 4th European Conference of the International Federation for Medical and Biological Engineering (pp. 243-246). Springer, Berlin, Heidelberg.
- Sommer, D., Golz, M., Schnupp, T., Krajewski, J., Trutschel, U., & Edwards, D. (2009). A measure of strong driver fatigue.
- Krajewski, J. (2008). Akustische Stimmmessung – Automatische Detektion von Befindlichkeitszuständen. In W. Sarges & D. Scheffer (Hrsg.), Innovative Ansätze für die Eignungsdiagnostik (S. 97-108). Göttingen: Hogrefe.
- Krajewski, J., Batliner, A., & Wieland, R. (2008, December). Multiple classifier applied on predicting microsleep from speech. In 2008 19th International Conference on Pattern Recognition (pp. 1-4). IEEE.
- Krajewski, J., Wieland, R., & Batliner, A. (2008, July). An acoustic framework for detecting fatigue in speech based Human-Computer-Interaction. In International Conference on Computers for Handicapped Persons (pp. 54-61). Springer, Berlin, Heidelberg.
- Krajewski, J., & Kröger, B. J. (2007). Using prosodic and spectral characteristics for sleepiness detection. In INTERSPEECH (Vol. 8, pp. 27-31).
- Wieland, R., & Krajewski, J. (2007). Neue Organisationsformen der Arbeit. Handbuch der Arbeits-und Organisationspsychologie, 210-216.
- Wieland, R., Krajewski, J., & Memmou, M. (2006). Arbeitsgestaltung, Persönlichkeit und Arbeitszufriedenheit. na.