Auditory attention can be defined as the cognitive process that enables us to selectively focus on relevant aspects of the acoustic environment while other aspects are ignored. The remarkable ability of the auditory system to focus on one out of several speakers in a multispeaker environment has become known as the cocktail party effect. Although the neural processes underlying selective auditory attention (SAA) are not well understood, it has recently been shown that the cortical representation of a listener’s attended sound stream can be recorded noninvasively from the scalp and that stimulus reconstruction from single trial electroencephalographic (EEG) data enables the decoding of the orientation of auditory attention. The present study extends this approach by evaluating its efficacy in a naturalistic and challenging four-speaker acoustic free field environment, in which the four speakers were spatially separated and presented different but equally salient spoken messages to the listeners. Ten participants were instructed to focus SAA on a spoken prose message in one of the four loudspeakers while ignoring the remaining three streams of prose. Concurrent EEG activity recorded via 128 scalp channels was used for a stimulus reconstruction analysis. The results showed that this approach can be used to decode the orientation of SAA even in a complex and realistic acoustic setting. To confirm that the successful decoding was driven by correspondences between the recorded EEG activity and the attended speech envelopes, the analysis method was validated against randomly constructed sets of surrogate data and by correlations with behavioral data.
The interest in dry electroencephalography (EEG) electrodes has increased in recent years, especially as everyday suitability earplugs for measuring drowsiness or focus of auditory attention. However, the challenge is still the need for a good electrode material, which is reliable and can be easily processed for highly personalized applications. Laser processing, as used here, is a fast and very precise method to produce personalized electrode configurations that meet the high requirements of in-ear EEG electrodes. The arrangement of the electrodes on the flexible and compressible mats allows an exact alignment to the ear mold and contributes to high wearing comfort, as no edges or metal protrusions are present. For better transmission properties, an adapted coating process for surface enlargement of platinum electrodes is used, which can be controlled precisely. The resulting porous platinum-copper alloy is chemically very stable, shows no exposed copper residues, and enlarges the effective surface area by 40. In a proof-of-principle experiment, these porous platinum electrodes could be used to measure the Berger effect in a dry state using just one ear of a test person. Their signal-to-noise ratio and the frequency transfer function is comparable to gel-based silver/silver chloride electrodes.
Speaker recognition in a multi-speaker environment is a complex listening task that requires effort to be solved. Especially people with hearing loss show an increased listening effort in demanding listening situations compared to normal hearing people. However, a standardized method to quantify listening effort does not exist yet. Recently we have shown a possible way to determine listening effort objectively. The aim of this study was to validate the proposed objective measure in a challenging, true-to-life listening situation, and to get an insight on the influence of different hearing aid (HA) settings on the listening effort using the proposed measure. To achieve this we investigated the influence of four different HA settings and two different listening task difficulties (LTD) on the listening effort of people with hearing loss in a selective, real-speech listening task. HA setting A, B and C all had an adaptive compression with static characteristic, but differed in the gain and compression settings (more and less gain and more and less linear). Setting D had an adaptive compression whose characteristic was situation-dependent. To quantify the listening effort the ongoing oscillatory EEG activity was recorded as the basis to calculate the objective measure (OLEosc). By way of comparison a subjective listening effort score was determined on an individual basis (SLEscr). The results show that the OLEosc maps the SLEscr well in every of the tested conditions. Furthermore, the results also suggest that OLEosc might be more sensitive to small variances in listening effort than the employed subjective rating scale.
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