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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: 


Subjective quality ratings and physiological correlates of synthesized speech
Zitatschlüssel arndt2013b
Autor Arndt, Sebastian and Antons, Jan-Niklas and Gupta, Rishabh and Laghari, K. and Schleicher, Robert and Möller, Sebastian and Falk, Tiago H.
Buchtitel 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX)
Seiten 152–157
Jahr 2013
DOI 10.1109/QoMEX.2013.6603229
Workshop Workshop
Ort Klagenfurt am Wörthersee, Austria
Monat jul
Notiz Electronic/online
Serie QoMEX
Wie herausgegeben Full
Zusammenfassung Evaluating the quality of text-to-speech systems (TTS) is usually achieved by subjective methods where participants have to rate the stimulus on multiple scales, such as naturalness, prosody, and overall quality. In the present study, we aim towards evaluating TTS system quality using not only conventional subjective methods, but also via a neurophysiological approach based on obtaining neural correlates of TTS quality perception using electroencephalography (EEG). Such an approach allows for better insight into the perception processes involved during the human quality judgement process, and may open doors to innovative subjective testing methods and/or objective measurement tools. In our experiments, we have shown an inverse relationship between TTS speech quality and the amplitude of an EEG evoked response called the `P300,' suggesting an increase in cognitive load as TTS quality decreases, likely due to reduction in speech intelligibility.
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