A System Identification Approach to Determining Listening Attention from EEG Signals
2016 (English)Conference paper (Refereed)
We still have very little knowledge about how ourbrains decouple different sound sources, which is known assolving the cocktail party problem. Several approaches; includingERP, time-frequency analysis and, more recently, regression andstimulus reconstruction approaches; have been suggested forsolving this problem. In this work, we study the problem ofcorrelating of EEG signals to different sets of sound sources withthe goal of identifying the single source to which the listener isattending. Here, we propose a method for finding the number ofparameters needed in a regression model to avoid overlearning,which is necessary for determining the attended sound sourcewith high confidence in order to solve the cocktail party problem.
Place, publisher, year, edition, pages
2016. 31-35 p.
attention, cocktail party, linear regression (LR), finite impulse response (FIR), multivariable model, sound, EEG
IdentifiersURN: urn:nbn:se:liu:diva-130732OAI: oai:DiVA.org:liu-130732DiVA: diva2:954379
2016 European Signal Processing Conference (EUSIPCO 2016)