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Comparing approaches for predicting behavioural speech-in-noise performance using cortical responses to unattended stimuli.
Hear Res
January 2025
Institute of Sound and Vibration Research, University of Southampton, Southampton, United Kingdom.
The cortical tracking of the acoustic envelope is a phenomenon where the brain's electrical activity, as recorded by electroencephalography (EEG) signals, fluctuates in accordance with changes in stimulus intensity (the acoustic envelope of the stimulus). Understanding speech in a noisy background is a key challenge for people with hearing impairments. Speech stimuli are therefore more ecologically valid than clicks, tone pips, or speech tokens (e.
View Article and Find Full Text PDFAttentional Inhibition Ability Predicts Neural Representation During Challenging Auditory Streaming.
Cogn Affect Behav Neurosci
January 2025
Aix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, France.
Focusing on a single source within a complex auditory scene is challenging. M/EEG-based auditory attention detection (AAD) allows to detect which stream an individual is attending to within a set of multiple concurrent streams. The high interindividual variability in the auditory attention detection performance often is attributed to physiological factors and signal-to-noise ratio of neural data.
View Article and Find Full Text PDFThe Impact of Selective Spatial Attention on Auditory-Tactile Integration: An Event-Related Potential Study.
Brain Sci
December 2024
Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 3-1-1 Tsushima-Naka, Okayama 700-8530, Japan.
Background: Auditory-tactile integration is an important research area in multisensory integration. Especially in special environments (e.g.
View Article and Find Full Text PDFPhoneme-related potentials recorded from normal hearing listeners and cochlear implant users in a selective attention paradigm to continuous speech.
Hear Res
December 2024
Department of Otolaryngology, Hannover Medical School and Cluster of Excellence "Hearing4all", Hanover, Germany.
Article Synopsis
- Cochlear implants help restore speech understanding in people with severe hearing loss, but how users perceive sounds compared to normal hearing is still unclear.
- A study examined the brain's response to speech sounds (phoneme-related potentials) in both cochlear implant users and normal hearing individuals, focusing on attention effects.
- Results showed similar early responses in both groups, but cochlear implant users had reduced activity for later responses, suggesting potential areas for improving speech assessment and tailored rehabilitation strategies.
Deep-learning models reveal how context and listener attention shape electrophysiological correlates of speech-to-language transformation.
PLoS Comput Biol
November 2024
Department of Neuroscience and Del Monte Institute for Neuroscience, University of Rochester, Rochester, New York, United States of America.
Article Synopsis
- The human brain transforms continuous speech into words by interpreting various factors like intonation and accents, and this process can be modeled using EEG recordings.
- Contemporary models tend to overlook how sounds are categorized in the brain, limiting our understanding of speech processing.
- The study finds that deep-learning systems like Whisper improve EEG modeling of speech comprehension by incorporating context and demonstrating that linguistic structure is crucial for accurate brain function representation, especially in complex listening environments.
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