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TU Berlin

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Dr.-Ing. Sebastian Arndt


Research Field:

  • Quality

Research Topics:
  • Neurotechnology
Current ProjectPast Projects

  Sebastian Arndt is a researcher at the Quality and Usability Lab of the Telekom Innovation Laboratories, TU Berlin. He studied Computer Science at Technische Universität Berlin and received his diploma in 2010. He received his doctoral degree (Dr.-Ing.) in 2015 with the thesis title 'Neural Correlates of Quality During Perception of Audiovisual Stimuli'. His current research focus is on physiological changes during the perception of audiovisual quality. 2012 he was a visiting researcher at MuSAE Lab (Montreal, Canada) in order to work on multimodal neural correlates for synthesized speech.    

Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
+49 30 8353 58328
+49 1709147458    E-Mail: 


Characterization of Human Emotions and Preferences for Text-to-Speech Systems Using Multimodal Neuroimaging Methods
Zitatschlüssel rehmanlaghari2014a
Autor Rehman Laghari, Khalil and Gupta, Rishabh and Arndt, Sebastian and Antons, Jan-Niklas and Möller, Sebastian and Falk, Tiago H.
Buchtitel 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE)
Jahr 2014
ISBN 978-1-4799-3099-9
Ort Toronto, ON, Canada
Adresse Piscataway, NJ, USA
Monat may
Verlag IEEE
Zusammenfassung Voice user interface and speech quality are normally assessed using subjective user experience testing methods and/or objective instrumental techniques. However, the recent advances in neurophysiological tools allowed useful human behavioral constructs to be measured in real-time, such as human emotion, perception, preferences and task performance. Electroencephalography (EEG), and functional near-infrared spectroscopy (fNIRS) are well received neuroimaging tools and they are being used in variety of different domains such as health science, neuromarketing, user experience (UX) research and multimedia quality of experience (QoE) discipline. Therefore, this paper describes the impact of natural and text-to-speech (TTS) signals on a user's affective state (valence and arousal) and their preferences using neuroimaging tools (EEG and fNIRS) and subjective user study. The EEG results showed that the natural and high quality TTS speech generate “positive valence”, that was inferred from a higher EEG asymmetric activation at frontal head region. fNIRS results showed the increased activation at Orbito-Frontal Cortex (OFC) region during decision making in favor of natural and high quality TTS speech signals. But natural and TTS signals have significantly different arousal levels.
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