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TU Berlin

Inhalt des Dokuments

Dr.-Ing. Sebastian Arndt

Lupe [1]
Lupe [2]

Research Field:

  • Quality

Research Topics:
  • Neurotechnology
Current Project
  •  PflegeTab [3]
Past Projects
  • prometei [4]
  • HC3 [5]


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 [6]

Publications

Cognitive, Affective, and Experience Correlates of Speech Quality Perception in Complex Listening Conditions
Zitatschlüssel antons2013d
Autor Antons, Jan-Niklas and Laghari, K. and Arndt, Sebastian and Schleicher, Robert and Möller, Sebastian and O'Shaughnessy, Douglas and Falk, Tiago H.
Buchtitel 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
Seiten 3672–3676
Jahr 2013
ISSN 1520-6149
DOI 10.1109/ICASSP.2013.6638343
Workshop Conference
Ort Vancouver, Canada
Adresse Piscataway, NJ, USA
Monat may
Notiz Electronic/online
Verlag IEEE
Serie ICASSP
Wie herausgegeben Full
Zusammenfassung Subjective speech quality assessment depends on listener ``quality" opinions after hearing a particular test speech stimulus. Subjective scores are given based on a perception and quality judgment process that is unique to a particular listener. These processes are postulated to be dependent on the listener's internal reference of what good and bad quality sounds like, as well as their mental and emotional states. To overcome this variability, subjective listening tests often average scores over several listeners. In this paper, we use electroencephalography (EEG) and self-assessment tools to investigate the neural and affective correlates of speech quality perception of reverberant speech, with the goal of obtaining new insights into human speech quality perception in complex listening environments. We show that EEG event related potentials (ERP) are a useful tool to monitor the conscious stages of neural-processing during a speech quality assessment task. Significant correlations were obtained between the so-called P300 ERP component and the reverberation time of the room, as well as between the P300 peak amplitude and emotional self-assessment ratings. These insights could lead to more effective ways of characterizing room acoustics for improved speech quality and intelligibility.
Link zur Originalpublikation [7] Download Bibtex Eintrag [8]
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