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Anne K. Porbadnigk
Researcher at Technical University of Berlin
Publications - 18
Citations - 466
Anne K. Porbadnigk is an academic researcher from Technical University of Berlin. The author has contributed to research in topics: Noise & Electroencephalography. The author has an hindex of 13, co-authored 18 publications receiving 422 citations. Previous affiliations of Anne K. Porbadnigk include Deutsche Forschungsgemeinschaft.
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Journal ArticleDOI
Analyzing Speech Quality Perception Using Electroencephalography
J-N Antons,Robert Schleicher,Sebastian Arndt,Sebastian Möller,Anne K. Porbadnigk,Gabriel Curio +5 more
TL;DR: It is shown that a certain EEG technique, event-related-potentials (ERP) analysis, is a useful and valid tool in quality research and can be monitored in conscious and presumably non-conscious stages of processing.
Journal ArticleDOI
EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs).
Laura Acqualagna,Sebastian Bosse,Anne K. Porbadnigk,Gabriel Curio,Klaus-Robert Müller,Klaus-Robert Müller,Thomas Wiegand,Thomas Wiegand,Benjamin Blankertz +8 more
TL;DR: The results show that neural assessment of video quality based on SSVEPs is a viable complement of the behavioral one and a significantly fast alternative to methods based on the P3 component.
Proceedings ArticleDOI
Using ERPs for assessing the (sub) conscious perception of noise
Anne K. Porbadnigk,Jan-N. Antons,Benjamin Blankertz,Matthias S. Treder,Robert Schleicher,Sebastian Möller,Gabriel Curio +6 more
TL;DR: This paper investigates the use of event-related potentials (ERPs) as a quantitative measure for quality assessment of disturbed audio signals and shows for two subjects that a classifier based on shrinkage LDA can be applied successfully to single out stimuli, for which the noise was presumably processed subconsciously.
Journal ArticleDOI
The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis
Matthias S. Treder,Matthias S. Treder,Anne K. Porbadnigk,Forooz Shahbazi Avarvand,Klaus-Robert Müller,Klaus-Robert Müller,Benjamin Blankertz +6 more
TL;DR: The LDA beamformer optimally reconstructs ERP sources by maximizing the ERP signal-to-noise ratio and is a highly suited tool for analyzing ERP source time series, particularly in EEG/MEG studies wherein a source model is not available.
Journal ArticleDOI
Single-trial analysis of the neural correlates of speech quality perception
Anne K. Porbadnigk,Matthias S. Treder,Benjamin Blankertz,Jan-Niklas Antons,Robert Schleicher,Sebastian Möller,Gabriel Curio,Klaus-Robert Müller +7 more
TL;DR: A novel classification approach helps to detect trials with presumably non-conscious processing at the threshold of perception and uncovers a non-trivial confounder between neural hits and neural misses.