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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: 


Using fNIRS to Characterize Human Perception of TTS System Quality, Comprehension, and Fluency: Preliminary Findings
Zitatschlüssel gupta2013a
Autor Gupta, Rishabh and Laghari, K. and Arndt, Sebastian and Schleicher, Robert and Möller, Sebastian and O'Shaughnessy, Douglas and Falk, Tiago H.
Buchtitel Proc. 4th International Workshop on Perceptual Quality of Systems (PQS 2013)
Seiten 73–78
Jahr 2013
ISBN 978-0470012352
Workshop workshop
Ort Vienna, Austria
Adresse Vienna, Austria
Monat sep
Notiz electronic/online
Herausgeber Schatz, R. and Hoßfeld, Tobias
Verlag FTW
Wie herausgegeben full
Organisation FTW
Zusammenfassung The quality of synthesized speech signals from different Text-to-Speech (TTS) systems is traditionally evaluated using subjective tests based on user ratings. Subjective testing, however, is challenging due to the variability and complexity of human perception. As such, recently there has been a shift towards exploring new objective techniques to evaluate the quality of TTS systems. In this paper, we describe our initial effort of characterizing human TTS quality perception via neurophysiological insights obtained from a neuroimaging technology called functional Near Infrared Spectroscopy (fNIRS). This approach allowed for a link between the human decision making process and the quality of different TTS systems to be established. We showed significant correlations between perceived quality and several fNIRS features related to cerebral haemodynamics. These preliminary results have helped establish the potential of fNIRS as an important tool for evaluating the quality of TTS systems. Index Terms: fNIRS, TTS, quality measurement, Quality of Experience (QoE), fluency, comprehension
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