DocumentCode :
3685108
Title :
Comparison of speech envelope extraction methods for EEG-based auditory attention detection in a cocktail party scenario
Author :
Wouter Biesmans;Jonas Vanthornhout;Jan Wouters;Marc Moonen;Tom Francart;Alexander Bertrand
Author_Institution :
KU Leuven, Dept. Electrical Engineering (ESAT), Stadius Center for Dynamical Systems, Signal Processing and Data Analytics. Kasteelpark Arenberg 10, B-3001, Belgium
fYear :
2015
Firstpage :
5155
Lastpage :
5158
Abstract :
Recent research has shown that it is possible to detect which of two simultaneous speakers a person is attending to, using brain recordings and the temporal envelope of the separate speech signals. However, a wide range of possible methods for extracting this speech envelope exists. This paper assesses the effect of different envelope extraction methods with varying degrees of auditory modelling on the performance of auditory attention detection (AAD), and more specifically on the detection accuracy. It is found that sub-band envelope extraction with proper power-law compression yields best performance, and that the use of several more detailed auditory models does not yield a further improvement in performance.
Keywords :
"Speech","Brain models","Electroencephalography","Decoding","Accuracy","Correlation"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN :
1094-687X
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/EMBC.2015.7319552
Filename :
7319552
Link To Document :
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