TU3.SC1.4
ESTIMATION OF THE NEURAL SOURCES OF THE EEG-MEASURED SPEECH-FFR USING A PHENOMENOLOGICAL MODEL OF AUDITORY-NERVE FIBER RESPONSES
Jonas Auernheimer, Tobias Reichenbach, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Session:
TU3.SC1: Signal Processing for Decoding Brain Responses to Natural Stimuli Lecture
Track:
Special Sessions
Location:
Saint Clair 1
Presentation Time:
Tue, 27 Aug, 17:30 - 17:50 France Time (UTC +2)
Session Co-Chairs:
Simon Geirnaert, KU Leuven and Alexander Bertrand, KU Leuven
Presentation
Discussion
Resources
No resources available.
Session TU3.SC1
TU3.SC1.1: ENVELOPE BASED DEEP SOURCE SEPARATION AND EEG AUDITORY ATTENTION DECODING FOR SPEECH AND MUSIC
M. Asjid Tanveer, Aalborg University, Denmark; Jesper Jensen, Aalborg University, Oticon A/S, Denmark; Zhen-Hua Tan, Jan Østergaard, Aalborg University, Denmark
TU3.SC1.2: EFFECT OF INDEPENDENT COMPONENT ARTIFACT REJECTION ON EEG-BASED AUDITORY ATTENTION DECODING
Oskar Keding, Lund University, Sweden; Johanna Wilroth, Martin A. Skoglund, Emina Alickovic, Linköping University, Sweden
TU3.SC1.3: Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation
Anna Sergeeva, Christian Bech Christensen, Preben Kidmose, Aarhus University, Denmark
TU3.SC1.4: ESTIMATION OF THE NEURAL SOURCES OF THE EEG-MEASURED SPEECH-FFR USING A PHENOMENOLOGICAL MODEL OF AUDITORY-NERVE FIBER RESPONSES
Jonas Auernheimer, Tobias Reichenbach, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
TU3.SC1.5: PROBABILISTIC GAIN CONTROL IN A MULTI-SPEAKER SETTING USING EEG-BASED AUDITORY ATTENTION DECODING
Nicolas Heintz, Simon Geirnaert, Iris Van de Ryck, Tom Francart, Alexander Bertrand, KU Leuven, Belgium