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Alexander Schmitt
Alexander Schmitt
Mercedes-Benz AG
Verified email at mercedes-benz.com
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Cited by
Cited by
Year
Driver emotion recognition for intelligent vehicles: A survey
S Zepf, J Hernandez, A Schmitt, W Minker, RW Picard
ACM Computing Surveys (CSUR) 53 (3), 1-30, 2020
1782020
Anger recognition in speech using acoustic and linguistic cues
T Polzehl, A Schmitt, F Metze, M Wagner
Speech Communication 53 (9-10), 1198-1209, 2011
1242011
A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let's Go Bus Information System.
A Schmitt, S Ultes, W Minker
LREC, 3369-3373, 2012
1162012
Modeling and predicting quality in spoken human-computer interaction
A Schmitt, B Schatz, W Minker
Proceedings of the SIGDIAL 2011 Conference, 173-184, 2011
922011
Interaction quality: assessing the quality of ongoing spoken dialog interaction by experts—and how it relates to user satisfaction
A Schmitt, S Ultes
Speech Communication 74, 12-36, 2015
702015
Emotions are a personal thing: Towards speaker-adaptive emotion recognition
M Sidorov, S Ultes, A Schmitt
2014 IEEE international conference on acoustics, speech and signal …, 2014
492014
Towards empathetic car interfaces: Emotional triggers while driving
S Zepf, M Dittrich, J Hernandez, A Schmitt
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
462019
Speech recognition for mobile devices
A Schmitt, D Zaykovskiy, W Minker
International Journal of Speech Technology 11, 63-72, 2008
402008
Owlspeak-adaptive spoken dialogue within intelligent environments
T Heinroth, D Denich, A Schmitt
2010 8th IEEE International Conference on Pervasive Computing and …, 2010
392010
Approaching multi-lingual emotion recognition from speech-on language dependency of acoustic/prosodic features for anger detection
T Polzehl, A Schmitt, F Metze
Carnegie Mellon University, 2010
382010
On quality ratings for spoken dialogue systems–experts vs. users
S Ultes, A Schmitt, W Minker
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
372013
When calls go wrong: How to detect problematic calls based on log-files and emotions?
O Herm, A Schmitt, J Liscombe
INTERSPEECH, 463-466, 2008
372008
Quality-adaptive spoken dialogue initiative selection and implications on reward modelling
S Ultes, M Kraus, A Schmitt, W Minker
Proceedings of the 16th Annual Meeting of the Special Interest Group on …, 2015
302015
Towards quality-adaptive spoken dialogue management
S Ultes, A Schmitt, W Minker
NAACL-HLT Workshop on Future directions and needs in the Spoken Dialog …, 2012
282012
Detecting problematic dialogs with automated agents
A Schmitt, C Hank, J Liscombe
International Tutorial and Research Workshop on Perception and Interactive …, 2008
262008
Towards adaptive spoken dialog systems
A Schmitt, W Minker
Springer Science & Business Media, 2012
252012
Is it possible to predict task completion in automated troubleshooters?.
A Schmitt, M Scholz, W Minker, J Liscombe, D Sündermann
INTERSPEECH, 94-97, 2010
232010
Survey of automated speaker identification methods
M Sidorov, A Schmitt, S Zablotskiy, W Minker
2013 9th International Conference on Intelligent Environments, 236-239, 2013
212013
Salient features for anger recognition in german and english ivr portals
T Polzehl, A Schmitt, F Metze
Spoken dialogue systems technology and design, 83-105, 2011
212011
On nomatchs, noinputs and bargeins: Do non-acoustic features support anger detection?
A Schmitt, T Heinroth, J Liscombe
Proceedings of the SIGDIAL 2009 Conference, 128-131, 2009
202009
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