Andreas Wendemuth


2022

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Public Interactions with Voice Assistant – Discussion of Different One-Shot Solutions to Preserve Speaker Privacy
Ingo Siegert | Yamini Sinha | Gino Winkelmann | Oliver Jokisch | Andreas Wendemuth
Proceedings of the Workshop on Ethical and Legal Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Data In Language Resources within the 13th Language Resources and Evaluation Conference

2018

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Recognizing Behavioral Factors while Driving: A Real-World Multimodal Corpus to Monitor the Driver’s Affective State
Alicia Lotz | Klas Ihme | Audrey Charnoz | Pantelis Maroudis | Ivan Dmitriev | Andreas Wendemuth
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2012

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Towards Emotion and Affect Detection in the Multimodal LAST MINUTE Corpus
Jörg Frommer | Bernd Michaelis | Dietmar Rösner | Andreas Wendemuth | Rafael Friesen | Matthias Haase | Manuela Kunze | Rico Andrich | Julia Lange | Axel Panning | Ingo Siegert
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The LAST MINUTE corpus comprises multimodal recordings (e.g. video, audio, transcripts) from WOZ interactions in a mundane planning task (Rösner et al., 2011). It is one of the largest corpora with naturalistic data currently available. In this paper we report about first results from attempts to automatically and manually analyze the different modes with respect to emotions and affects exhibited by the subjects. We describe and discuss difficulties encountered due to the strong contrast between the naturalistic recordings and traditional databases with acted emotions.