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Dr.-Ing. Sebastian Arndt

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Research Field:

Quality

Research Topics:

Neurotechnology

Current Project

PflegeTab

Past Projects

Biography:
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.
Address:

Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Telefon:
+49 30 8353 58328
+49 1709147458 E-Mail: sebastian.arndt@telekom.de

Publications

Analyzing Speech Quality Perception using Electro-Encephalography
Zitatschlüssel	antons2012b
Autor	Antons, Jan-Niklas and Schleicher, Robert and Arndt, Sebastian and Möller, Sebastian and Porbadnigk, Anne K. and Curio, Gabriel
Seiten	721–731
Jahr	2012
ISSN	1932-4553
DOI	10.1109/JSTSP.2012.2191936
Journal	IEEE Journal of Selected Topics in Signal Processing
Jahrgang	6
Nummer	6
Monat	oct
Verlag	IEEE
Wie herausgegeben	Full
Zusammenfassung	Common speech quality evaluation methods rely on self-reported opinions after perceiving test stimuli. Whereas these methods-when carefully applied-provide valid and reliable quality indices, they provide little insight into the processes underlying perception and judgment. In this paper, we analyze the performance of electroencephalography (EEG) for indicating different types of degradations in speech stimuli. We show that a certain EEG technique, event-related-potentials (ERP) analysis, is a useful and valid tool in quality research. Three experiments are reported which show that quality degradations can be monitored in conscious and presumably non-conscious stages of processing. Potential and limitations of the approach are discussed and lines of future research are drawn.