• 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