TL;DR
The present results demonstrate the feasibility of objective, parallel measurement across this hierarchy and point to impaired language processing as a possible mechanism to LiD.
Findings show that Cheech-modified speech preserves intelligibility while yielding robust, multilevel neural recordings during sentence perception, offering a promising approach to examine hierarchical auditory processing under ecologically relevant speech-in-noise conditions.
This investigation aims to quantify how well a person is able to neurally entrain to a continuous narrative using a temporal response function (TRF), then evaluate if that TRF measure is correlated with an individual’s performance on a selective attention and narrative comprehension task.
The auditory brainstem plays a crucial role in speech-in-noise (SiN) listening, refining numerous acoustic features such as pitch and spatial location under continual descending influence from the cortex. However, the difficulty of characterizing brainstem activity during continuous speech listening has obscured its fu...
Auditory attention detection (AAD) identifies which of several competing talkers a listener is attending to, a key step toward neuro-steered hearing devices for real-world listening environments with multiple speakers. Most AAD work to date has examined non-tonal languages, leaving tonal languages underexplored even th...
How degraded acoustic input shifts processing from rapid, implicit lexical access toward explicit working-memory-dependent reconstruction within the Ease of Language Understanding (ELU) model is described.
A multidimensional model of AP was supported, emphasizing the need for including spatial processing measures in routine AP assessment batteries, using both traditional tests and the Listening in Spatialized Noise-Sentences test.
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