Sebastian Schnieder

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Jarek KrajewskiRhenish Univ. of Applied Sciences Cologne & Univ. WuppertalDirección de correo verificada de uni-wuppertal.de
Nicholas CumminsKing's College LondonDirección de correo verificada de kcl.ac.uk
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGDirección de correo verificada de tum.de
Anton BatlinerTUM/MRI Munich / FAU ErlangenDirección de correo verificada de cs.fau.de
Julien EppsProfessor, The University of New South WalesDirección de correo verificada de unsw.edu.au
David SommerSDA GmbH Schmalkalden, HS SchmalkaldenDirección de correo verificada de sund.de
Elmar NöthUniversity of Erlangen-NurembergDirección de correo verificada de informatik.uni-erlangen.de
Roddy CowiePsychology, Queen's UniversityDirección de correo verificada de qub.ac.uk
Maja PanticFacebook (United States) / Imperial College LondonDirección de correo verificada de imperial.ac.uk
Bihan JiangImperial College LondonDirección de correo verificada de imperial.ac.uk
Florian EybenaudEERING GmbHDirección de correo verificada de tum.de
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamDirección de correo verificada de nottingham.ac.uk
Martin GolzUniversity of Applied Sciences Schmalkalden, GermanyDirección de correo verificada de hs-sm.de
Florian HönigFriedrich-Alexander-University of Erlangen-NurembergDirección de correo verificada de informatik.uni-erlangen.de
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenDirección de correo verificada de cs.fau.de

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Sebastian Schnieder

Professsor HMKW, Visiting Professor University of Wuppertal, Germany

Dirección de correo verificada de hmkw.de

Affective Computing Pattern Recognition in Psychopathologies


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
A review of depression and suicide risk assessment using speech analysis N Cummins, S Scherer, J Krajewski, S Schnieder, J Epps, TF Quatieri Speech communication 71, 10-49, 2015	861	2015
Avec 2013: the continuous audio/visual emotion and depression recognition challenge M Valstar, B Schuller, K Smith, F Eyben, B Jiang, S Bilakhia, S Schnieder, ... Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013	585	2013
The interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring B Schuller, S Steidl, A Batliner, E Bergelson, J Krajewski, C Janott, ... Computational Paralinguistics Challenge (ComParE), Interspeech 2017, 3442-3446, 2017	182	2017
The interspeech 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity B Schuller, A Batliner, C Bergler, FB Pokorny, J Krajewski, M Cychosz, ...	110	2019
Analysis of acoustic space variability in speech affected by depression N Cummins, V Sethu, J Epps, S Schnieder, J Krajewski Speech Communication 75, 27-49, 2015	107	2015
Automatic modelling of depressed speech: relevant features and relevance of gender F Hönig, A Batliner, E Nöth, S Schnieder, J Krajewski	82	2014
Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech J Krajewski, S Schnieder, D Sommer, A Batliner, B Schuller Neurocomputing 84, 65-75, 2012	78	2012
Detecting fatigue from steering behaviour applying continuous wavelet transform J Krajewski, M Golz, S Schnieder, T Schnupp, C Heinze, D Sommer Proceedings of the 7th International Conference on Methods and Techniques in …, 2010	26	2010
Acoustic-prosodic characteristics of sleepy speech–between performance and interpretation F Hönig, A Batliner, E Nöth, S Schnieder, J Krajewski	20	2014
Wege aus der müden (Arbeits-) Gesellschaft: Erklärungsmodelle, Messansätze und Gegenmaßnahmen J Krajewski, I Mühlenbrock, S Schnieder, K Seiler Zeitschrift für Arbeitswissenschaft 65 (2), 97-115, 2011	17	2011
An evaluation of the effect of anxiety on speech-computational prediction of anxiety from sustained vowels A Baird, N Cummins, S Schnieder, J Krajewski, B Schuller	13	2020
Are men more sleepy than women or does it only look like—Automatic analysis of sleepy speech F Honig, A Batliner, T Booklet, G Stemmer, E Nöth, S Schnieder, ... 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014	13	2014
I did it my way–wie sich Erholungskompetenz messen lässt J Krajewski, K Seiler, S Schnieder Wirtschaftspsychologie aktuell 4, 13-16, 2013	12	2013
Evaluation of the Pain Level from Speech: Introducing a Novel Pain Database and Benchmarks Z Ren, N Cummins, J Han, S Schnieder, J Krajewski, B Schuller	10	2018
Sustainable reduction of sleepiness through salutogenic self-care procedure in lunch breaks: A pilot study S Schnieder, S Stappert, M Takahashi, GL Fricchione, T Esch, J Krajewski Evidence-Based Complementary and Alternative Medicine 2013, 2013	9	2013
Description of the upper respiratory tract infection corpus (urtic) J Krajewski, S Schieder, A Batliner	6	2017
Comparison of in-car touchpads with adaptive haptic feedback A Blattner, K Bengler, W Hamberger, S Schnieder 2012 IEEE International Workshop on Haptic Audio Visual Environments and …, 2012	5	2012
Large Sleepy Reading Corpus (LSRC): Applying Read Speech for Detecting Sleepiness J Krajewski, S Schnieder, C Monschau, R Titt, D Sommer, M Golz Speech Communication; 12. ITG Symposium, 1-4, 2016	4	2016
Just valid or even accurate? Determine the measurement accuracy of the pupillographic sleepiness test by applying self and observer ratings S Schnieder, J Krajewski, T Esch, B Baluch, B Wilhelm Somnologie-Schlafforschung und Schlafmedizin 16, 106-117, 2012	3	2012
Pattern recognition methods: a novel analysis for the pupillographic sleepiness test J Krajewski, T Schnupp, S Schnieder, D Sommer, C Heinze, M Golz Proceedings of the 7th International Conference on Methods and Techniques in …, 2010	3	2010

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